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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-960h
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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: wav2vecvanilla_ctc_zero_infinity
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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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+ # wav2vecvanilla_ctc_zero_infinity
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8214
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+ - Wer: 0.3168
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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: 4
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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: 7
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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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+ | 1.4684 | 0.43 | 100 | 1.0567 | 0.4018 |
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+ | 1.2572 | 0.85 | 200 | 0.9726 | 0.3706 |
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+ | 1.139 | 1.28 | 300 | 0.9748 | 0.3602 |
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+ | 1.0956 | 1.71 | 400 | 0.9989 | 0.3619 |
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+ | 1.0891 | 2.14 | 500 | 0.9133 | 0.3606 |
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+ | 1.063 | 2.56 | 600 | 0.9272 | 0.3548 |
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+ | 1.0339 | 2.99 | 700 | 1.0183 | 0.3444 |
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+ | 0.9709 | 3.42 | 800 | 0.8244 | 0.3488 |
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+ | 0.958 | 3.85 | 900 | 0.8335 | 0.3410 |
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+ | 0.8954 | 4.27 | 1000 | 0.8641 | 0.3336 |
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+ | 0.8735 | 4.7 | 1100 | 0.8671 | 0.3306 |
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+ | 0.8411 | 5.13 | 1200 | 0.8373 | 0.3281 |
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+ | 0.805 | 5.56 | 1300 | 0.8197 | 0.3198 |
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+ | 0.8452 | 5.98 | 1400 | 0.8343 | 0.3158 |
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+ | 0.8078 | 6.41 | 1500 | 0.8392 | 0.3165 |
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+ | 0.7946 | 6.84 | 1600 | 0.8214 | 0.3168 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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