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End of training

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  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Harveenchadha/hindi_base_wav2vec2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: hindi_beekeeping_wav2vec2-2
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+ results: []
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+ ---
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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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+
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+ # hindi_beekeeping_wav2vec2-2
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+
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+ This model is a fine-tuned version of [Harveenchadha/hindi_base_wav2vec2](https://huggingface.co/Harveenchadha/hindi_base_wav2vec2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7999
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+ - Wer: 0.3017
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.3186 | 5.56 | 25 | 0.5615 | 0.2890 |
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+ | 0.0831 | 11.11 | 50 | 1.0522 | 0.4262 |
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+ | 0.0499 | 16.67 | 75 | 0.7605 | 0.3354 |
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+ | 0.0518 | 22.22 | 100 | 0.6797 | 0.3713 |
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+ | 0.0355 | 27.78 | 125 | 0.8345 | 0.3333 |
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+ | 0.0284 | 33.33 | 150 | 0.8702 | 0.3608 |
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+ | 0.0248 | 38.89 | 175 | 0.7246 | 0.3734 |
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+ | 0.0229 | 44.44 | 200 | 0.7885 | 0.3291 |
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+ | 0.0193 | 50.0 | 225 | 0.8082 | 0.3312 |
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+ | 0.0164 | 55.56 | 250 | 0.7141 | 0.3186 |
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+ | 0.0109 | 61.11 | 275 | 0.9168 | 0.3333 |
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+ | 0.0082 | 66.67 | 300 | 0.9048 | 0.3418 |
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+ | 0.007 | 72.22 | 325 | 0.9089 | 0.3080 |
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+ | 0.0074 | 77.78 | 350 | 0.8113 | 0.2911 |
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+ | 0.0053 | 83.33 | 375 | 0.8197 | 0.3186 |
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+ | 0.0065 | 88.89 | 400 | 0.7999 | 0.3017 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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