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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_at1_da1
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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_at1_da1
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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: 6.1479
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+ - Wer: 1.0644
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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: 1000
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+ - num_epochs: 60
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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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+ | 18.0956 | 6.1 | 250 | 4.6463 | 1.0 |
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+ | 3.3157 | 12.2 | 500 | 3.7016 | 1.0 |
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+ | 3.0923 | 18.29 | 750 | 3.9545 | 1.0 |
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+ | 1.5621 | 24.39 | 1000 | 4.1576 | 1.0610 |
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+ | 0.145 | 30.49 | 1250 | 4.6917 | 1.0503 |
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+ | 0.0861 | 36.59 | 1500 | 5.4079 | 1.0635 |
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+ | 0.0553 | 42.68 | 1750 | 5.8676 | 1.0601 |
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+ | 0.0393 | 48.78 | 2000 | 6.3465 | 1.0618 |
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+ | 0.0308 | 54.88 | 2250 | 6.1479 | 1.0644 |
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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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