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--- |
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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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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: AsrTaskModel |
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results: [] |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hamees-iitm.ac.in/huggingface/runs/vp52o41j) |
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# AsrTaskModel |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4220 |
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- Wer: 0.2541 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 1000 |
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- num_epochs: 5 |
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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 | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 3.0261 | 0.5556 | 500 | 3.1243 | 0.9989 | |
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| 1.1139 | 1.1111 | 1000 | 0.9005 | 0.5382 | |
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| 0.8059 | 1.6667 | 1500 | 0.6447 | 0.3916 | |
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| 0.5712 | 2.2222 | 2000 | 0.5581 | 0.3395 | |
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| 0.5164 | 2.7778 | 2500 | 0.4805 | 0.2998 | |
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| 0.3958 | 3.3333 | 3000 | 0.4717 | 0.2820 | |
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| 0.4108 | 3.8889 | 3500 | 0.4494 | 0.2692 | |
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| 0.3403 | 4.4444 | 4000 | 0.4507 | 0.2588 | |
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| 0.3087 | 5.0 | 4500 | 0.4220 | 0.2541 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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