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End of training

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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: wav2vec2_tun_1.0
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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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+ # wav2vec2_tun_1.0
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3582
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+ - Wer: 0.2211
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+ - Cer: 0.0770
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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: 0.0001
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+ - train_batch_size: 16
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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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+ - num_epochs: 30
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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 | Cer |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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+ | 5.9699 | 3.7234 | 700 | 2.8579 | 1.0 | 0.9915 |
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+ | 1.5582 | 7.4468 | 1400 | 0.4742 | 0.3345 | 0.1187 |
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+ | 0.5216 | 11.1702 | 2100 | 0.3712 | 0.2768 | 0.0975 |
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+ | 0.3359 | 14.8936 | 2800 | 0.3522 | 0.2484 | 0.0867 |
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+ | 0.2514 | 18.6170 | 3500 | 0.3611 | 0.2403 | 0.0833 |
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+ | 0.217 | 22.3404 | 4200 | 0.3557 | 0.2266 | 0.0787 |
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+ | 0.1873 | 26.0638 | 4900 | 0.3569 | 0.2245 | 0.0786 |
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+ | 0.183 | 29.7872 | 5600 | 0.3582 | 0.2211 | 0.0770 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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