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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_da0.025
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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_da0.025
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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: 9.1596
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+ - Wer: 1.0
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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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+ | 33.8202 | 125.0 | 250 | 47.1503 | 1.0 |
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+ | 11.5918 | 250.0 | 500 | 9.7965 | 1.0 |
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+ | 10.0921 | 375.0 | 750 | 9.2904 | 1.0 |
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+ | 6.6014 | 500.0 | 1000 | 9.2396 | 1.0 |
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+ | 7.8557 | 625.0 | 1250 | 9.2582 | 1.0 |
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+ | 7.6576 | 750.0 | 1500 | 10.7610 | 1.0 |
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+ | 7.0009 | 875.0 | 1750 | 9.2900 | 1.0 |
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+ | 6.6034 | 1000.0 | 2000 | 9.2763 | 1.0 |
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+ | 6.5928 | 1125.0 | 2250 | 9.2703 | 1.0 |
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+ | 6.5581 | 1250.0 | 2500 | 9.1374 | 1.0 |
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+ | 6.4663 | 1375.0 | 2750 | 9.1508 | 1.0 |
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+ | 6.4496 | 1500.0 | 3000 | 9.1802 | 1.0 |
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+ | 6.4061 | 1625.0 | 3250 | 9.1858 | 1.0 |
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+ | 6.4291 | 1750.0 | 3500 | 9.1535 | 1.0 |
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+ | 6.4131 | 1875.0 | 3750 | 9.1450 | 1.0 |
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+ | 6.4086 | 2000.0 | 4000 | 9.1596 | 1.0 |
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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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