Delete examples/audio-classification/ac
Browse files- examples/audio-classification/ac/README.md +0 -88
- examples/audio-classification/ac/all_results.json +0 -13
- examples/audio-classification/ac/config.json +0 -147
- examples/audio-classification/ac/eval_results.json +0 -8
- examples/audio-classification/ac/model.safetensors +0 -3
- examples/audio-classification/ac/preprocessor_config.json +0 -9
- examples/audio-classification/ac/runs/May15_03-06-03_cs-Precision-7960-Tower/events.out.tfevents.1747292768.cs-Precision-7960-Tower.146737.0 +0 -3
- examples/audio-classification/ac/runs/May15_03-06-03_cs-Precision-7960-Tower/events.out.tfevents.1747293535.cs-Precision-7960-Tower.146737.1 +0 -3
- examples/audio-classification/ac/train_results.json +0 -8
- examples/audio-classification/ac/trainer_state.json +0 -1598
- examples/audio-classification/ac/training_args.bin +0 -3
examples/audio-classification/ac/README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- audio-classification
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- generated_from_trainer
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datasets:
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- superb
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-ft-keyword-spotting
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: superb
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type: superb
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config: ks
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split: validation
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args: ks
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9826419535157399
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-base-ft-keyword-spotting
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0954
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- Accuracy: 0.9826
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 48
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- eval_batch_size: 32
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- seed: 0
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 192
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 8.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.3624 | 1.0 | 267 | 1.1959 | 0.6546 |
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| 0.3854 | 2.0 | 534 | 0.2675 | 0.9734 |
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| 0.2473 | 3.0 | 801 | 0.1461 | 0.9768 |
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| 0.1997 | 4.0 | 1068 | 0.1088 | 0.9804 |
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| 0.1723 | 5.0 | 1335 | 0.0954 | 0.9826 |
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| 0.1442 | 6.0 | 1602 | 0.0927 | 0.9813 |
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| 0.1397 | 7.0 | 1869 | 0.0892 | 0.9812 |
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| 0.1368 | 7.9728 | 2128 | 0.0896 | 0.9812 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu118
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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examples/audio-classification/ac/all_results.json
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{
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"epoch": 7.972769953051643,
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"eval_accuracy": 0.9826419535157399,
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"eval_loss": 0.09542840719223022,
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"eval_runtime": 5.5538,
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"eval_samples_per_second": 1224.023,
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"eval_steps_per_second": 38.352,
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"total_flos": 3.767900833756416e+18,
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"train_loss": 0.5178930132572812,
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"train_runtime": 756.2923,
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"train_samples_per_second": 540.468,
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"train_steps_per_second": 2.814
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}
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examples/audio-classification/ac/config.json
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{
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"_name_or_path": "facebook/wav2vec2-base",
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"activation_dropout": 0.0,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 256,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": false,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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2
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],
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"conv_stride": [
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2
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],
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"ctc_loss_reduction": "sum",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": false,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.1,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"finetuning_task": "audio-classification",
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"freeze_feat_extract_train": true,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "yes",
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"1": "no",
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"10": "_silence_",
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"11": "_unknown_",
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"2": "up",
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"3": "down",
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"4": "left",
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"5": "right",
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"6": "on",
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"7": "off",
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"8": "stop",
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"9": "go"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"_silence_": "10",
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"_unknown_": "11",
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"down": "3",
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"go": "9",
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"left": "4",
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"no": "1",
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"off": "7",
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"on": "6",
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"right": "5",
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"stop": "8",
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"up": "2",
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"yes": "0"
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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"mask_channel_length": 10,
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"mask_channel_min_space": 1,
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"mask_channel_other": 0.0,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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"mask_time_selection": "static",
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"model_type": "wav2vec2",
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"no_mask_channel_overlap": false,
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"no_mask_time_overlap": false,
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"num_adapter_layers": 3,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 12,
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 0,
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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],
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"tdnn_dim": [
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512,
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512,
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512,
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512,
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],
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"tdnn_kernel": [
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],
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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 32,
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"xvector_output_dim": 512
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}
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examples/audio-classification/ac/eval_results.json
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{
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"epoch": 7.972769953051643,
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"eval_accuracy": 0.9826419535157399,
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"eval_loss": 0.09542840719223022,
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"eval_runtime": 5.5538,
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"eval_samples_per_second": 1224.023,
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"eval_steps_per_second": 38.352
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}
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examples/audio-classification/ac/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6e4f1c85d883f3e41ebfab4cd7752ab2e6d6b968b847795be22e1e0662657a3
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size 385400352
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examples/audio-classification/ac/training_args.bin
DELETED
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@@ -1,3 +0,0 @@
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| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:11e71a8faf8833e9bfb138217263fb0518314e3b8597902b752b2bc9dd143942
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| 3 |
-
size 5368
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