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  2. model.safetensors +1 -1
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_lr1e-4_at0.8_da0.9
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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_lr1e-4_at0.8_da0.9
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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: 3.4350
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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: 0.0001
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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: 100
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+ - num_epochs: 200
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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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+ | 15.2367 | 2.44 | 100 | 3.7048 | 1.0 |
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+ | 3.2713 | 4.88 | 200 | 3.3895 | 1.0 |
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+ | 3.2139 | 7.32 | 300 | 3.3689 | 1.0 |
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+ | 3.1969 | 9.76 | 400 | 3.6049 | 1.0 |
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+ | 3.1872 | 12.2 | 500 | 3.3182 | 1.0 |
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+ | 3.1829 | 14.63 | 600 | 3.4524 | 1.0 |
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+ | 3.1919 | 17.07 | 700 | 3.3392 | 1.0 |
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+ | 3.1863 | 19.51 | 800 | 3.4291 | 1.0 |
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+ | 3.1789 | 21.95 | 900 | 3.3734 | 1.0 |
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+ | 3.1849 | 24.39 | 1000 | 3.4350 | 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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