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README.md ADDED
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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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+ metrics:
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+ - wer
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+ model-index:
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+ - name: w2v2-base-pretrained_lr5e-5_at0.8_da0.05
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+ results: []
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+ ---
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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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+
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+ # w2v2-base-pretrained_lr5e-5_at0.8_da0.05
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+
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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: 4.9499
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+ - Wer: 1.1098
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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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: 500
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+ - training_steps: 4000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|
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+ | 32.094 | 83.33 | 250 | 3.6861 | 1.0 |
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+ | 3.223 | 166.67 | 500 | 3.1064 | 1.0 |
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+ | 3.0141 | 250.0 | 750 | 3.0722 | 1.0 |
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+ | 2.6901 | 333.33 | 1000 | 2.8675 | 1.0 |
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+ | 1.7283 | 416.67 | 1250 | 3.2044 | 1.0436 |
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+ | 0.9791 | 500.0 | 1500 | 3.4905 | 1.0666 |
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+ | 0.6506 | 583.33 | 1750 | 3.7132 | 1.0560 |
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+ | 0.3895 | 666.67 | 2000 | 4.1587 | 1.0824 |
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+ | 0.2399 | 750.0 | 2250 | 4.4319 | 1.1012 |
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+ | 0.1794 | 833.33 | 2500 | 4.4773 | 1.0995 |
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+ | 0.139 | 916.67 | 2750 | 4.6309 | 1.0871 |
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+ | 0.1026 | 1000.0 | 3000 | 4.6925 | 1.0628 |
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+ | 0.0807 | 1083.33 | 3250 | 4.8052 | 1.0824 |
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+ | 0.0611 | 1166.67 | 3500 | 4.8086 | 1.0953 |
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+ | 0.0539 | 1250.0 | 3750 | 4.8570 | 1.0995 |
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+ | 0.0524 | 1333.33 | 4000 | 4.9499 | 1.1098 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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