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--- |
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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: libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att |
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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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# libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 43.3741 |
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- Wer: 0.4535 |
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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: 0.002 |
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- train_batch_size: 8 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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_ratio: 0.2 |
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- num_epochs: 40 |
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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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| 1062.9452 | 0.45 | 400 | 45.3735 | 0.5247 | |
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| 938.9115 | 0.9 | 800 | 42.2431 | 0.4830 | |
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| 838.9108 | 1.35 | 1200 | 40.3582 | 0.4517 | |
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| 815.9835 | 1.79 | 1600 | 39.1145 | 0.4403 | |
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| 815.1952 | 2.24 | 2000 | 40.4637 | 0.4417 | |
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| 783.388 | 2.69 | 2400 | 39.3749 | 0.4312 | |
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| 786.6658 | 3.14 | 2800 | 41.7742 | 0.4450 | |
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| 785.0494 | 3.59 | 3200 | 42.3615 | 0.4562 | |
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| 808.8199 | 4.04 | 3600 | 43.4402 | 0.4527 | |
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| 765.5683 | 4.48 | 4000 | 43.2136 | 0.4505 | |
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| 803.3544 | 4.93 | 4400 | 43.3741 | 0.4535 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1 |
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- Datasets 2.7.1 |
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- Tokenizers 0.11.0 |
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