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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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metrics: |
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- wer |
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model-index: |
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- name: my_awesome_asr_mind_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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# my_awesome_asr_mind_model |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9568 |
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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: 0.0003 |
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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_ratio: 0.1 |
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- num_epochs: 10 |
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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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| 6.3983 | 1.0 | 38 | 2.6746 | 1.0 | |
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| 1.0201 | 2.0 | 76 | 1.0183 | 1.0 | |
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| 0.98 | 3.0 | 114 | 1.2402 | 1.0 | |
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| 0.9409 | 4.0 | 152 | 0.9863 | 1.0 | |
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| 1.0142 | 5.0 | 190 | 0.9881 | 1.0 | |
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| 0.9615 | 6.0 | 228 | 0.9643 | 1.0 | |
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| 0.9693 | 7.0 | 266 | 0.9562 | 1.0 | |
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| 0.943 | 8.0 | 304 | 1.0394 | 1.0 | |
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| 0.9586 | 9.0 | 342 | 0.9711 | 1.0 | |
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| 0.9166 | 10.0 | 380 | 0.9568 | 1.0 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.2 |
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