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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large-lv60 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: w2v2-lg-lv60_phn-asr-scoring_nia037-saq-20s-3963_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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# w2v2-lg-lv60_phn-asr-scoring_nia037-saq-20s-3963_001 |
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This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 4.6835 |
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- eval_per: 0.9974 |
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- eval_pcc: 0.6617 |
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- eval_ctc_loss: 3.7489 |
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- eval_mse_loss: 0.9346 |
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- eval_runtime: 668.539 |
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- eval_samples_per_second: 2.232 |
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- eval_steps_per_second: 2.232 |
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- epoch: 6.05 |
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- step: 1500 |
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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: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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_steps: 250 |
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- training_steps: 2500 |
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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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