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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: new_asr_model |
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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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# new_asr_model |
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This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0553 |
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- Wer: 0.1515 |
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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: 36 |
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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: 25 |
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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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| 7.1498 | 3.88 | 500 | 1.9949 | 0.9938 | |
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| 0.4835 | 7.75 | 1000 | 0.0690 | 0.1562 | |
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| 0.1202 | 11.63 | 1500 | 0.0555 | 0.1513 | |
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| 0.0842 | 15.5 | 2000 | 0.0564 | 0.1516 | |
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| 0.0637 | 19.38 | 2500 | 0.0559 | 0.1521 | |
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| 0.0647 | 23.26 | 3000 | 0.0553 | 0.1515 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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