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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-960h |
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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: Wav2vec2_MyST_Train_and_Dev |
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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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# Wav2vec2_MyST_Train_and_Dev |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6956 |
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- Wer: 1.0 |
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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: 12 |
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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: 24 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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_steps: 500 |
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- num_epochs: 10 |
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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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| 0.8218 | 0.4356 | 1000 | 0.6958 | 1.0 | |
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| 0.7378 | 0.8713 | 2000 | 0.8468 | 1.0 | |
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| 0.0 | 1.3067 | 3000 | nan | 1.0 | |
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| 0.0 | 1.7423 | 4000 | nan | 1.0 | |
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| 0.0 | 2.1777 | 5000 | nan | 1.0 | |
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| 0.0 | 2.6134 | 6000 | nan | 1.0 | |
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| 0.0 | 3.0488 | 7000 | nan | 1.0 | |
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| 0.0 | 3.4844 | 8000 | nan | 1.0 | |
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| 0.0 | 3.9201 | 9000 | nan | 1.0 | |
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| 0.0 | 4.3555 | 10000 | nan | 1.0 | |
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| 0.0 | 4.7911 | 11000 | nan | 1.0 | |
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| 0.0 | 5.2265 | 12000 | nan | 1.0 | |
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| 0.0 | 5.6622 | 13000 | nan | 1.0 | |
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| 0.0 | 6.0976 | 14000 | nan | 1.0 | |
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| 0.0 | 6.5332 | 15000 | nan | 1.0 | |
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| 0.0 | 6.9689 | 16000 | nan | 1.0 | |
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| 0.0 | 7.4043 | 17000 | nan | 1.0 | |
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| 0.0 | 7.8399 | 18000 | nan | 1.0 | |
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| 0.0 | 8.2753 | 19000 | nan | 1.0 | |
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| 0.0 | 8.7110 | 20000 | nan | 1.0 | |
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| 0.0 | 9.1464 | 21000 | nan | 1.0 | |
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| 0.0 | 9.5820 | 22000 | nan | 1.0 | |
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### Framework versions |
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- Transformers 4.56.2 |
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- Pytorch 2.8.0.dev20250319+cu128 |
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- Datasets 4.1.1 |
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- Tokenizers 0.22.1 |
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