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jonatasgrosman/exp_w2v2t_es_wav2vec2_s875
cac736b2bbb80f31d5720a0442eed3bcb3db35bb
2022-07-11T10:19:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_wav2vec2_s875
2
null
transformers
27,300
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_wav2vec2_s875 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-100k_s957
362db3433b8e69a3557cd74895419880ac70ce38
2022-07-11T10:23:05.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-100k_s957
2
null
transformers
27,301
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-100k_s957 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-100k_s468
6b8b5e2233dc9021fcda1a93130c1e8d24838e94
2022-07-11T10:26:18.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-100k_s468
2
null
transformers
27,302
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-100k_s468 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-100k_s732
a9e7a3c3d34555f3ff2fa416776da6ad53ed5c7f
2022-07-11T10:29:28.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-100k_s732
2
null
transformers
27,303
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-100k_s732 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_xlsr-53_s377
7ab23a39d9aab9219673ae286f5e6841cb355d13
2022-07-11T10:32:41.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_xlsr-53_s377
2
null
transformers
27,304
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_xlsr-53_s377 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_xlsr-53_s756
ddfa3516904c294748becbd1e5490fad13030fe1
2022-07-11T10:35:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_xlsr-53_s756
2
null
transformers
27,305
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_xlsr-53_s756 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_xlsr-53_s103
be16cb94a07650664aa3d6fef0b8ed20a5c5af4b
2022-07-11T10:40:01.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_xlsr-53_s103
2
null
transformers
27,306
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_xlsr-53_s103 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_unispeech_s990
013d4e771d310479c733afc5f2db063ead986e1c
2022-07-11T10:43:19.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_unispeech_s990
2
null
transformers
27,307
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_unispeech_s990 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_unispeech_s461
0e5d8c6c67fe3ab527a83b44e1d3b1616d92f799
2022-07-11T10:49:40.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_unispeech_s461
2
null
transformers
27,308
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_unispeech_s461 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_hubert_s459
c81d594b39992888ee74e5bea140682304891a54
2022-07-11T10:52:59.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_hubert_s459
2
null
transformers
27,309
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_hubert_s459 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_hubert_s456
122266316208b9fdabf5bdb992aa77834ff27547
2022-07-11T10:56:25.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_hubert_s456
2
null
transformers
27,310
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_hubert_s456 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_hubert_s251
a53fabf65afbfc99c8c189ba8185bf3982a434af
2022-07-11T10:59:51.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_hubert_s251
2
null
transformers
27,311
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_hubert_s251 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-sv_s863
232f951e25dfae61fcbf58c90fcb6fd3509ace0b
2022-07-11T11:03:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-sv_s863
2
null
transformers
27,312
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-sv_s863 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-sv_s44
cfc645228dae2ed6197a5b09caecf1a161b0d1af
2022-07-11T11:07:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-sv_s44
2
null
transformers
27,313
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-sv_s44 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-sv_s93
9830e603b53efe62aeab9c0c56fa549d1facb890
2022-07-11T11:11:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-sv_s93
2
null
transformers
27,314
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-sv_s93 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_no-pretraining_s445
074451b4636fa9d8fdd09b5c00dbd805ea12608f
2022-07-11T11:14:34.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_no-pretraining_s445
2
null
transformers
27,315
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_no-pretraining_s445 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_no-pretraining_s807
6372be682a69f2018f1f81e66a5f47b51540b3b9
2022-07-11T11:18:11.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_no-pretraining_s807
2
null
transformers
27,316
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_no-pretraining_s807 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_no-pretraining_s953
eeb2ebac59026ca152569528575cb876c82a14d9
2022-07-11T11:23:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_no-pretraining_s953
2
null
transformers
27,317
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_no-pretraining_s953 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_wavlm_s115
81bb015e51ba3e26b802255386228deeaacae135
2022-07-11T11:30:30.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_wavlm_s115
2
null
transformers
27,318
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_wavlm_s115 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_wavlm_s26
4ee72f86d7df22bda8d67b7a1da699015a315923
2022-07-11T11:37:51.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_wavlm_s26
2
null
transformers
27,319
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_wavlm_s26 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_wavlm_s655
917c0d798d1ecafc6062df7d95f61ee2f3dfc26e
2022-07-11T11:44:23.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_wavlm_s655
2
null
transformers
27,320
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_wavlm_s655 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_unispeech-ml_s186
290bd42aa40df2d0c7288b7f9aaed66899da502f
2022-07-11T11:50:12.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_unispeech-ml_s186
2
null
transformers
27,321
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_unispeech-ml_s186 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_unispeech-ml_s952
a84b6e307b3ad5f2890070365d93fdac7c5176a6
2022-07-11T12:05:40.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_unispeech-ml_s952
2
null
transformers
27,322
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_unispeech-ml_s952 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-fr_s169
6df7ddfdd38a1cf810742ae393c65d4eb0ec0fe2
2022-07-11T12:18:33.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-fr_s169
2
null
transformers
27,323
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-fr_s169 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-fr_s281
68b9b78201bc88077012ed32ce7c462b6eff7c8e
2022-07-11T12:32:07.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-fr_s281
2
null
transformers
27,324
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-fr_s281 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-fr_s980
e9a5bc23acc8c38f986967910fbc8a7a1463e8ea
2022-07-11T12:51:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-fr_s980
2
null
transformers
27,325
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-fr_s980 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
paola-md/recipe-roberta-s
56a3300fd682afaee2c416e2ccebd8dc61862326
2022-07-11T15:47:10.000Z
[ "pytorch", "roberta", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "model-index", "autotrain_compatible" ]
fill-mask
false
paola-md
null
paola-md/recipe-roberta-s
2
null
transformers
27,326
--- license: mit tags: - generated_from_trainer model-index: - name: recipe-roberta-s results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # recipe-roberta-s This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8870 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 256 - eval_batch_size: 256 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.3387 | 1.0 | 820 | 1.1529 | | 1.187 | 2.0 | 1640 | 1.0643 | | 1.1213 | 3.0 | 2460 | 1.0371 | | 1.0859 | 4.0 | 3280 | 1.0000 | | 1.0566 | 5.0 | 4100 | 0.9798 | | 1.0338 | 6.0 | 4920 | 0.9637 | | 1.0162 | 7.0 | 5740 | 0.9538 | | 1.0003 | 8.0 | 6560 | 0.9332 | | 0.9878 | 9.0 | 7380 | 0.9252 | | 0.9767 | 10.0 | 8200 | 0.9189 | | 0.9664 | 11.0 | 9020 | 0.9145 | | 0.9627 | 12.0 | 9840 | 0.9065 | | 0.9539 | 13.0 | 10660 | 0.9027 | | 0.9461 | 14.0 | 11480 | 0.9029 | | 0.9435 | 15.0 | 12300 | 0.8949 | | 0.9404 | 16.0 | 13120 | 0.8924 | | 0.9359 | 17.0 | 13940 | 0.8874 | | 0.9307 | 18.0 | 14760 | 0.8842 | | 0.9295 | 19.0 | 15580 | 0.8853 | | 0.9263 | 20.0 | 16400 | 0.8870 | ### Framework versions - Transformers 4.19.0.dev0 - Pytorch 1.11.0+cu102 - Datasets 2.3.2 - Tokenizers 0.12.1
jonatasgrosman/exp_w2v2t_es_vp-es_s859
887da00dc2716940b6559761b986737344f902ce
2022-07-11T13:12:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-es_s859
2
null
transformers
27,327
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-es_s859 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
ghadeermobasher/Modified-scibert_scivocab_cased-BioRED-CD-512-5-30
20351d7ced77c7667db44221bce148caec78f5bd
2022-07-11T16:50:17.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/Modified-scibert_scivocab_cased-BioRED-CD-512-5-30
2
null
transformers
27,328
jonatasgrosman/exp_w2v2t_es_vp-es_s515
3e39a9813891755d846cdd42695b1074a4cdd1ba
2022-07-11T13:49:39.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-es_s515
2
null
transformers
27,329
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-es_s515 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-es_s250
938d0da7493882c34cb2fd6d71de33b480e59a01
2022-07-11T14:23:27.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-es_s250
2
null
transformers
27,330
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-es_s250 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-nl_s203
116c2c9140562cebf4ba0dd70191ad56a6255047
2022-07-11T14:42:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-nl_s203
2
null
transformers
27,331
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-nl_s203 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
aws-ai/dse-roberta-large
1a3a00fb5a1e4a552f1c75a2a537eff09bea777c
2022-07-11T15:16:49.000Z
[ "pytorch", "roberta", "transformers" ]
null
false
aws-ai
null
aws-ai/dse-roberta-large
2
null
transformers
27,332
Entry not found
ghadeermobasher/Original-scibert_scivocab_cased-BioRED-CD-512-5-30
d9150b2fc53af1a723b21b4f2abc87fbfb288735
2022-07-11T17:36:55.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/Original-scibert_scivocab_cased-BioRED-CD-512-5-30
2
null
transformers
27,333
jonatasgrosman/exp_w2v2t_es_vp-nl_s924
5269c846cca07cdb6c1184c3a3004e435ac866bc
2022-07-11T14:57:04.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-nl_s924
2
null
transformers
27,334
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-nl_s924 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-nl_s878
eb04041dd9d5dc603d4df75f5b4fb6bbb1fa358c
2022-07-11T15:14:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-nl_s878
2
null
transformers
27,335
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-nl_s878 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_unispeech-sat_s833
d6b9cace556cd53e176482ab264cbbaa1728e804
2022-07-11T15:35:27.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_unispeech-sat_s833
2
null
transformers
27,336
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_unispeech-sat_s833 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
paola-md/recipe-roberta-i
d9e6310058426041d5fab088f28e845e53a05dae
2022-07-11T16:17:54.000Z
[ "pytorch", "roberta", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "model-index", "autotrain_compatible" ]
fill-mask
false
paola-md
null
paola-md/recipe-roberta-i
2
null
transformers
27,337
--- license: mit tags: - generated_from_trainer model-index: - name: recipe-roberta-i results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # recipe-roberta-i This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9919 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 256 - eval_batch_size: 256 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.871 | 1.0 | 149 | 1.4670 | | 1.528 | 2.0 | 298 | 1.3426 | | 1.41 | 3.0 | 447 | 1.2636 | | 1.3332 | 4.0 | 596 | 1.2029 | | 1.2804 | 5.0 | 745 | 1.1646 | | 1.2441 | 6.0 | 894 | 1.1351 | | 1.21 | 7.0 | 1043 | 1.0898 | | 1.182 | 8.0 | 1192 | 1.0725 | | 1.1604 | 9.0 | 1341 | 1.0718 | | 1.1402 | 10.0 | 1490 | 1.0529 | | 1.1308 | 11.0 | 1639 | 1.0512 | | 1.1191 | 12.0 | 1788 | 1.0245 | | 1.0986 | 13.0 | 1937 | 1.0203 | | 1.0919 | 14.0 | 2086 | 1.0158 | | 1.084 | 15.0 | 2235 | 0.9930 | | 1.0797 | 16.0 | 2384 | 0.9855 | | 1.0697 | 17.0 | 2533 | 1.0061 | | 1.0652 | 18.0 | 2682 | 0.9725 | | 1.0658 | 19.0 | 2831 | 0.9861 | | 1.0642 | 20.0 | 2980 | 0.9919 | ### Framework versions - Transformers 4.19.0.dev0 - Pytorch 1.11.0+cu102 - Datasets 2.3.2 - Tokenizers 0.12.1
jonatasgrosman/exp_w2v2t_es_unispeech-sat_s514
cf33bfd1670b0d6abca9c7cf00d0da93cccbafcb
2022-07-11T15:57:16.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_unispeech-sat_s514
2
null
transformers
27,338
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_unispeech-sat_s514 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_unispeech-sat_s42
e785f24121c414e9a2bba7cc0122e2b2fa848986
2022-07-11T16:09:10.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_unispeech-sat_s42
2
null
transformers
27,339
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_unispeech-sat_s42 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_xls-r_s118
99c2ad15fb0d636b47783b1ec60df9ea3e985660
2022-07-11T16:13:12.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_xls-r_s118
2
null
transformers
27,340
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_xls-r_s118 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_xls-r_s691
e2560b002782eb2728d71639d8bf9aa05d6e3db8
2022-07-11T16:19:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_xls-r_s691
2
null
transformers
27,341
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_xls-r_s691 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
paola-md/recipe-roberta-tis
f3d6fa2d31d34fd53a8a9db0d63c714fcea5235e
2022-07-11T19:45:57.000Z
[ "pytorch", "roberta", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "model-index", "autotrain_compatible" ]
fill-mask
false
paola-md
null
paola-md/recipe-roberta-tis
2
null
transformers
27,342
--- license: mit tags: - generated_from_trainer model-index: - name: recipe-roberta-tis results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # recipe-roberta-tis This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8491 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 256 - eval_batch_size: 256 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.3552 | 1.0 | 1012 | 1.1292 | | 1.1811 | 2.0 | 2024 | 1.0543 | | 1.1095 | 3.0 | 3036 | 1.0122 | | 1.0667 | 4.0 | 4048 | 0.9756 | | 1.0345 | 5.0 | 5060 | 0.9478 | | 1.0112 | 6.0 | 6072 | 0.9292 | | 0.9922 | 7.0 | 7084 | 0.9137 | | 0.9762 | 8.0 | 8096 | 0.9056 | | 0.9627 | 9.0 | 9108 | 0.8977 | | 0.9507 | 10.0 | 10120 | 0.8868 | | 0.9411 | 11.0 | 11132 | 0.8823 | | 0.9344 | 12.0 | 12144 | 0.8745 | | 0.9261 | 13.0 | 13156 | 0.8688 | | 0.9189 | 14.0 | 14168 | 0.8614 | | 0.9133 | 15.0 | 15180 | 0.8609 | | 0.9078 | 16.0 | 16192 | 0.8581 | | 0.906 | 17.0 | 17204 | 0.8544 | | 0.9015 | 18.0 | 18216 | 0.8537 | | 0.8988 | 19.0 | 19228 | 0.8494 | | 0.8975 | 20.0 | 20240 | 0.8491 | ### Framework versions - Transformers 4.19.0.dev0 - Pytorch 1.11.0+cu102 - Datasets 2.3.2 - Tokenizers 0.12.1
jonatasgrosman/exp_w2v2t_es_xls-r_s51
9b36d6f27db7254e9d00e1b17093bd6ef6b8557f
2022-07-11T16:23:17.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_xls-r_s51
2
null
transformers
27,343
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_xls-r_s51 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_r-wav2vec2_s870
812297fed4f91ee8d118db1e2b02d53ca6b01f54
2022-07-11T16:30:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_r-wav2vec2_s870
2
null
transformers
27,344
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_r-wav2vec2_s870 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-it_s438
4b9988e0892460df49fc2495aff1f08684eac40a
2022-07-11T16:41:02.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-it_s438
2
null
transformers
27,345
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-it_s438 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_es_vp-it_s179
5b0933d3c1ce629c52647205e338854986f41705
2022-07-11T16:44:55.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "es", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_es_vp-it_s179
2
null
transformers
27,346
--- language: - es license: apache-2.0 tags: - automatic-speech-recognition - es datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_es_vp-it_s179 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (es)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_wav2vec2_s250
7e42fce88d7c8aacc79829e22729357a6b72f75c
2022-07-11T16:51:46.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_wav2vec2_s250
2
null
transformers
27,347
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_wav2vec2_s250 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_wav2vec2_s515
a8cc6a5322847b7a4ba4d75c363b5ccd04867dee
2022-07-11T16:54:47.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_wav2vec2_s515
2
null
transformers
27,348
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_wav2vec2_s515 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_wav2vec2_s859
9d62de0b91db8d0e13d344d00012ce20e24aa79a
2022-07-11T16:58:14.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_wav2vec2_s859
2
null
transformers
27,349
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_wav2vec2_s859 Fine-tuned [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-100k_s645
72caca135ec27fbf75a39ec487e03bf673f61637
2022-07-11T17:02:22.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-100k_s645
2
null
transformers
27,350
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-100k_s645 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-100k_s660
42c85b5026edaa5ec76722ab30bf494f264038b1
2022-07-11T17:10:21.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-100k_s660
2
null
transformers
27,351
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-100k_s660 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-100k_s69
e553af54700492c611b786a4f6d359a8d1a261ab
2022-07-11T17:13:45.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-100k_s69
2
null
transformers
27,352
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-100k_s69 Fine-tuned [facebook/wav2vec2-large-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-100k-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_xlsr-53_s677
0fd3fa790a1f2263fc673d2d48f22143c6b6609c
2022-07-11T17:17:00.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_xlsr-53_s677
2
null
transformers
27,353
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_xlsr-53_s677 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_xlsr-53_s454
d63caf3fbdbf0927dbfb42e7f520bff007c3b8c2
2022-07-11T17:20:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_xlsr-53_s454
2
null
transformers
27,354
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_xlsr-53_s454 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_xlsr-53_s829
c33c2a191a1221c7a35b0078511575b8098c4a2e
2022-07-11T17:23:34.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_xlsr-53_s829
2
null
transformers
27,355
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_xlsr-53_s829 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_unispeech_s186
da20825e705de009d67c8c2b7b1552a666912593
2022-07-11T17:26:39.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech_s186
2
null
transformers
27,356
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech_s186 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_unispeech_s474
7764c031b5ae666fc9b2e6356ef74fc5f8cb6de7
2022-07-11T17:29:59.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech_s474
2
null
transformers
27,357
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech_s474 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_unispeech_s952
8dfb31172cdb310875f5f472b95d70bea3edbdba
2022-07-11T17:33:19.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech_s952
2
null
transformers
27,358
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech_s952 Fine-tuned [microsoft/unispeech-large-1500h-cv](https://huggingface.co/microsoft/unispeech-large-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_hubert_s807
5b7fcc5037a16dab71e611c56d5d1c317e62e470
2022-07-11T17:36:35.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_hubert_s807
2
null
transformers
27,359
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_hubert_s807 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_hubert_s301
db53ad8e4e28c78e8fec1d80077dcfe8b8d8f20d
2022-07-11T17:40:03.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_hubert_s301
2
null
transformers
27,360
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_hubert_s301 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_hubert_s486
38da617303a33d48abd93f40a2bc776ed339d104
2022-07-11T17:43:15.000Z
[ "pytorch", "hubert", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_hubert_s486
2
null
transformers
27,361
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_hubert_s486 Fine-tuned [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-sv_s612
c569baf7cb636ce5f398fb2408fea492fb2a254b
2022-07-11T17:47:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-sv_s612
2
null
transformers
27,362
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-sv_s612 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-sv_s563
a31f2297451fcdbf33a1faf23e05254f9cd0f19d
2022-07-11T17:51:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-sv_s563
2
null
transformers
27,363
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-sv_s563 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-sv_s894
e8a9a32d94ee4b6035cedea898a24b65c7049cd7
2022-07-11T17:54:51.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-sv_s894
2
null
transformers
27,364
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-sv_s894 Fine-tuned [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_no-pretraining_s84
7964b6c3ade15d63ebcba82d4cd28d0d318db08b
2022-07-11T17:57:59.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_no-pretraining_s84
2
null
transformers
27,365
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_no-pretraining_s84 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_no-pretraining_s541
3d7196651042f98a4f7493635cb40a19ab5a5406
2022-07-11T18:01:26.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_no-pretraining_s541
2
null
transformers
27,366
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_no-pretraining_s541 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_no-pretraining_s34
d8b291a96d9e37bb54b82b4799a84ae7cacbdec0
2022-07-11T18:06:01.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_no-pretraining_s34
2
null
transformers
27,367
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_no-pretraining_s34 Fine-tuned randomly initialized wav2vec2 model for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_wavlm_s51
88f29ac654ddd7bc1b397cb865a2cad68a286a7b
2022-07-11T18:10:28.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_wavlm_s51
2
null
transformers
27,368
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_wavlm_s51 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_wavlm_s691
c6478635487897394745a93ac59fbb65145215fa
2022-07-11T18:13:28.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_wavlm_s691
2
null
transformers
27,369
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_wavlm_s691 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_wavlm_s118
5ad8a7041289c45beccfc0ceb1428f93e72b7836
2022-07-11T18:23:23.000Z
[ "pytorch", "wavlm", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_wavlm_s118
2
null
transformers
27,370
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_wavlm_s118 Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_unispeech-ml_s324
b1cf4866fe3e7f2ec9d6bd3cc5088eba187c8043
2022-07-11T18:27:29.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech-ml_s324
2
null
transformers
27,371
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech-ml_s324 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_unispeech-ml_s808
0b6f9a2bbc4280b2cb3627587242bff013bf4a54
2022-07-11T18:31:15.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech-ml_s808
2
null
transformers
27,372
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech-ml_s808 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_unispeech-ml_s610
6b09594695c011f460064843d98f0db58e8ab6f8
2022-07-11T18:45:30.000Z
[ "pytorch", "unispeech", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech-ml_s610
2
null
transformers
27,373
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech-ml_s610 Fine-tuned [microsoft/unispeech-large-multi-lingual-1500h-cv](https://huggingface.co/microsoft/unispeech-large-multi-lingual-1500h-cv) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-fr_s675
30199a7d8abbca90b783edf214c1d3ec6b424a5a
2022-07-11T18:49:06.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-fr_s675
2
null
transformers
27,374
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-fr_s675 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-fr_s485
7472594674b53733151d0ed5d4bfa1d21f2ce752
2022-07-11T18:54:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-fr_s485
2
null
transformers
27,375
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-fr_s485 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-fr_s752
7927b8c6a5315645f56bfdb0f5956603679b8edb
2022-07-11T18:58:10.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-fr_s752
2
null
transformers
27,376
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-fr_s752 Fine-tuned [facebook/wav2vec2-large-fr-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-fr-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-es_s454
e5b0d66e65b1309929639eb2c23c41991df90e09
2022-07-11T19:02:09.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-es_s454
2
null
transformers
27,377
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-es_s454 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-es_s506
f687b4d8b7d23587127359d7cb0d86006f9a0124
2022-07-11T19:05:37.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-es_s506
2
null
transformers
27,378
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-es_s506 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-es_s291
c498c281aac5328e5b258e3dd8e4a43b6bed4ca9
2022-07-11T19:09:42.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-es_s291
2
null
transformers
27,379
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-es_s291 Fine-tuned [facebook/wav2vec2-large-es-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-es-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-nl_s833
8efe712b431b80bffbcf6c6228b5411928bdd618
2022-07-11T19:13:31.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-nl_s833
2
null
transformers
27,380
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-nl_s833 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-nl_s6
8ccc9ce2d7ab902e271a3f2c592e1411772f2e6b
2022-07-11T19:17:20.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-nl_s6
2
null
transformers
27,381
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-nl_s6 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-nl_s783
0b34ee99a2a8c7b648beab747f4798f91e1ab572
2022-07-11T19:23:52.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-nl_s783
2
null
transformers
27,382
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-nl_s783 Fine-tuned [facebook/wav2vec2-large-nl-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-nl-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
x81k25/my-finetuned-bert
93cb3ebec59dbcbb6abb9808438a2a50379044fa
2022-07-11T19:26:04.000Z
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
false
x81k25
null
x81k25/my-finetuned-bert
2
null
transformers
27,383
Entry not found
jonatasgrosman/exp_w2v2t_pt_unispeech-sat_s756
3f627d6d1e306d292970e60a7a2cee6f9b04b979
2022-07-11T19:26:48.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech-sat_s756
2
null
transformers
27,384
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech-sat_s756 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_unispeech-sat_s377
524bb4c234a91e633d8b4dfc29ee0f160d24ac42
2022-07-11T19:30:24.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech-sat_s377
2
null
transformers
27,385
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech-sat_s377 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_unispeech-sat_s103
80c2c28b6bb437f03dbdfdd87cc0e02ad9e087bb
2022-07-11T19:34:07.000Z
[ "pytorch", "unispeech-sat", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_unispeech-sat_s103
2
null
transformers
27,386
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_unispeech-sat_s103 Fine-tuned [microsoft/unispeech-sat-large](https://huggingface.co/microsoft/unispeech-sat-large) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_xls-r_s17
f7e52c7bfd000fc2da9adb612eb0612ae9d721fd
2022-07-11T19:38:03.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_xls-r_s17
2
null
transformers
27,387
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_xls-r_s17 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_xls-r_s689
4b789047b07b0987838c6a99fe5264e8dda55383
2022-07-11T19:41:36.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_xls-r_s689
2
null
transformers
27,388
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_xls-r_s689 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_xls-r_s657
ce10cc63719aabf34f9cc03d24dac09101b2e351
2022-07-11T19:45:15.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_xls-r_s657
2
null
transformers
27,389
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_xls-r_s657 Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_r-wav2vec2_s468
57a476df0044d9dbb958cb0ca234b4e036c94bd5
2022-07-11T19:48:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_r-wav2vec2_s468
2
null
transformers
27,390
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_r-wav2vec2_s468 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_r-wav2vec2_s957
264f32fe6edd8e336752b27252128c2354cccf62
2022-07-11T19:51:40.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_r-wav2vec2_s957
2
null
transformers
27,391
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_r-wav2vec2_s957 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_r-wav2vec2_s732
799fb57955a5555dc2ba7d8bf5dbcafb5988a713
2022-07-11T19:54:54.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_r-wav2vec2_s732
2
null
transformers
27,392
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_r-wav2vec2_s732 Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-it_s996
6907560d5e0407742a7a9f46f9a151ecd6b17561
2022-07-11T19:59:08.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-it_s996
2
null
transformers
27,393
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-it_s996 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
jonatasgrosman/exp_w2v2t_pt_vp-it_s738
d8dc14b601189bad80fc8ee07e9c4f9d6dc345c7
2022-07-11T20:09:11.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "pt", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "license:apache-2.0" ]
automatic-speech-recognition
false
jonatasgrosman
null
jonatasgrosman/exp_w2v2t_pt_vp-it_s738
2
null
transformers
27,394
--- language: - pt license: apache-2.0 tags: - automatic-speech-recognition - pt datasets: - mozilla-foundation/common_voice_7_0 --- # exp_w2v2t_pt_vp-it_s738 Fine-tuned [facebook/wav2vec2-large-it-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-it-voxpopuli) for speech recognition using the train split of [Common Voice 7.0 (pt)](https://huggingface.co/datasets/mozilla-foundation/common_voice_7_0). When using this model, make sure that your speech input is sampled at 16kHz. This model has been fine-tuned by the [HuggingSound](https://github.com/jonatasgrosman/huggingsound) tool.
paola-md/recipe-distilbert-upper-Is
301ad41d0350df73bf02eed95b2523f269d65a58
2022-07-12T03:03:14.000Z
[ "pytorch", "distilbert", "fill-mask", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
fill-mask
false
paola-md
null
paola-md/recipe-distilbert-upper-Is
2
null
transformers
27,395
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: recipe-distilbert-upper-Is results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # recipe-distilbert-upper-Is This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8565 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 256 - eval_batch_size: 256 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.6309 | 1.0 | 1305 | 1.2607 | | 1.2639 | 2.0 | 2610 | 1.1291 | | 1.1592 | 3.0 | 3915 | 1.0605 | | 1.0987 | 4.0 | 5220 | 1.0128 | | 1.0569 | 5.0 | 6525 | 0.9796 | | 1.0262 | 6.0 | 7830 | 0.9592 | | 1.0032 | 7.0 | 9135 | 0.9352 | | 0.9815 | 8.0 | 10440 | 0.9186 | | 0.967 | 9.0 | 11745 | 0.9086 | | 0.9532 | 10.0 | 13050 | 0.8973 | | 0.9436 | 11.0 | 14355 | 0.8888 | | 0.9318 | 12.0 | 15660 | 0.8835 | | 0.9243 | 13.0 | 16965 | 0.8748 | | 0.9169 | 14.0 | 18270 | 0.8673 | | 0.9117 | 15.0 | 19575 | 0.8610 | | 0.9066 | 16.0 | 20880 | 0.8562 | | 0.9028 | 17.0 | 22185 | 0.8566 | | 0.901 | 18.0 | 23490 | 0.8583 | | 0.8988 | 19.0 | 24795 | 0.8557 | | 0.8958 | 20.0 | 26100 | 0.8565 | ### Framework versions - Transformers 4.19.0.dev0 - Pytorch 1.11.0+cu102 - Datasets 2.3.2 - Tokenizers 0.12.1
huggingtweets/hhelafifi
bd63f95e30b8990ebba1f45aabfe3832e56492b4
2022-07-12T02:49:51.000Z
[ "pytorch", "gpt2", "text-generation", "en", "transformers", "huggingtweets" ]
text-generation
false
huggingtweets
null
huggingtweets/hhelafifi
2
null
transformers
27,396
--- language: en thumbnail: http://www.huggingtweets.com/hhelafifi/1657594186366/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1147337070920097793/06CZyryx_400x400.jpg&#39;)"> </div> <div style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)"> </div> <div style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)"> </div> </div> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div> <div style="text-align: center; font-size: 16px; font-weight: 800">Hussein</div> <div style="text-align: center; font-size: 14px;">@hhelafifi</div> </div> I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets). Create your own bot based on your favorite user with [the demo](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb)! ## How does it work? The model uses the following pipeline. ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true) To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI). ## Training data The model was trained on tweets from Hussein. | Data | Hussein | | --- | --- | | Tweets downloaded | 820 | | Retweets | 191 | | Short tweets | 95 | | Tweets kept | 534 | [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1j7uxays/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline. ## Training procedure The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @hhelafifi's tweets. Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/20d5foa3) for full transparency and reproducibility. At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/20d5foa3/artifacts) is logged and versioned. ## How to use You can use this model directly with a pipeline for text generation: ```python from transformers import pipeline generator = pipeline('text-generation', model='huggingtweets/hhelafifi') generator("My dream is", num_return_sequences=5) ``` ## Limitations and bias The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias). In addition, the data present in the user's tweets further affects the text generated by the model. ## About *Built by Boris Dayma* [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma) For more details, visit the project repository. [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
paola-md/recipe-distilbert-i
8cd47bd38a82984306558e2b588522b8b64616f6
2022-07-12T05:14:44.000Z
[ "pytorch", "distilbert", "fill-mask", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
fill-mask
false
paola-md
null
paola-md/recipe-distilbert-i
2
null
transformers
27,397
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: recipe-distilbert-i results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # recipe-distilbert-i This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.0288 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 256 - eval_batch_size: 256 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.3931 | 1.0 | 152 | 1.7738 | | 1.7533 | 2.0 | 304 | 1.5109 | | 1.5584 | 3.0 | 456 | 1.4003 | | 1.443 | 4.0 | 608 | 1.3296 | | 1.3551 | 5.0 | 760 | 1.2270 | | 1.2981 | 6.0 | 912 | 1.1870 | | 1.2577 | 7.0 | 1064 | 1.1511 | | 1.2216 | 8.0 | 1216 | 1.1298 | | 1.1958 | 9.0 | 1368 | 1.1087 | | 1.1685 | 10.0 | 1520 | 1.0858 | | 1.1533 | 11.0 | 1672 | 1.0820 | | 1.1358 | 12.0 | 1824 | 1.0659 | | 1.1286 | 13.0 | 1976 | 1.0382 | | 1.1128 | 14.0 | 2128 | 1.0468 | | 1.11 | 15.0 | 2280 | 1.0399 | | 1.094 | 16.0 | 2432 | 1.0382 | | 1.0969 | 17.0 | 2584 | 1.0096 | | 1.0868 | 18.0 | 2736 | 1.0235 | | 1.0845 | 19.0 | 2888 | 1.0227 | | 1.0855 | 20.0 | 3040 | 1.0288 | ### Framework versions - Transformers 4.19.0.dev0 - Pytorch 1.11.0+cu102 - Datasets 2.3.2 - Tokenizers 0.12.1
paola-md/recipe-distilbert-tis
39e583f48e27a4fa625390bd423113df36b36fb2
2022-07-12T07:31:02.000Z
[ "pytorch", "distilbert", "fill-mask", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
fill-mask
false
paola-md
null
paola-md/recipe-distilbert-tis
2
null
transformers
27,398
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: recipe-distilbert-tis results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # recipe-distilbert-tis This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.9886 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 256 - eval_batch_size: 256 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.8792 | 1.0 | 1038 | 1.4680 | | 1.4691 | 2.0 | 2076 | 1.3122 | | 1.3471 | 3.0 | 3114 | 1.2343 | | 1.2798 | 4.0 | 4152 | 1.1829 | | 1.2284 | 5.0 | 5190 | 1.1437 | | 1.1956 | 6.0 | 6228 | 1.1120 | | 1.1683 | 7.0 | 7266 | 1.0905 | | 1.1458 | 8.0 | 8304 | 1.0731 | | 1.126 | 9.0 | 9342 | 1.0645 | | 1.113 | 10.0 | 10380 | 1.0471 | | 1.0962 | 11.0 | 11418 | 1.0348 | | 1.0864 | 12.0 | 12456 | 1.0256 | | 1.0772 | 13.0 | 13494 | 1.0173 | | 1.0692 | 14.0 | 14532 | 1.0130 | | 1.0622 | 15.0 | 15570 | 1.0111 | | 1.0577 | 16.0 | 16608 | 1.0021 | | 1.0537 | 17.0 | 17646 | 1.0001 | | 1.0474 | 18.0 | 18684 | 0.9928 | | 1.0471 | 19.0 | 19722 | 0.9908 | | 1.0458 | 20.0 | 20760 | 0.9886 | ### Framework versions - Transformers 4.19.0.dev0 - Pytorch 1.11.0+cu102 - Datasets 2.3.2 - Tokenizers 0.12.1
marksverdhei/pegasus-xsum-reddit-syac
3b426b32fdf9d5184021ceb872189d5568411111
2022-07-12T08:33:57.000Z
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
false
marksverdhei
null
marksverdhei/pegasus-xsum-reddit-syac
2
null
transformers
27,399
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