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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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model-index: |
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- name: saq-20s_asr-scr_w2v2-base_001 |
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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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# saq-20s_asr-scr_w2v2-base_001 |
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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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- eval_loss: 0.6013 |
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- eval_per: 0.1403 |
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- eval_pcc: 0.6666 |
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- eval_ctc_loss: 0.4803 |
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- eval_mse_loss: 0.8934 |
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- eval_runtime: 180.2975 |
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- eval_samples_per_second: 8.275 |
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- eval_steps_per_second: 8.275 |
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- epoch: 11.0 |
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- step: 8162 |
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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: 16 |
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- eval_batch_size: 1 |
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- seed: 1111 |
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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: 2226 |
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- training_steps: 22260 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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