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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: openai/whisper-small
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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: whisper-small-r22-e
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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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+ # whisper-small-r22-e
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2918
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+ - Wer: 21.3875
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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: 1e-05
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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: 5
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+ - training_steps: 150
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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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+ | 0.3822 | 0.09 | 10 | 0.4255 | 23.2826 |
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+ | 0.2636 | 0.18 | 20 | 0.3321 | 22.4196 |
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+ | 0.2037 | 0.27 | 30 | 0.3279 | 23.8071 |
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+ | 0.1943 | 0.36 | 40 | 0.3177 | 22.3858 |
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+ | 0.2203 | 0.45 | 50 | 0.3109 | 22.4873 |
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+ | 0.193 | 0.54 | 60 | 0.3071 | 22.9272 |
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+ | 0.2096 | 0.63 | 70 | 0.2990 | 22.6565 |
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+ | 0.214 | 0.72 | 80 | 0.3029 | 22.4873 |
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+ | 0.2375 | 0.81 | 90 | 0.2927 | 21.7259 |
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+ | 0.2238 | 0.9 | 100 | 0.2918 | 22.4196 |
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+ | 0.2119 | 0.99 | 110 | 0.2919 | 22.7580 |
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+ | 0.1362 | 1.08 | 120 | 0.2897 | 22.0135 |
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+ | 0.0997 | 1.17 | 130 | 0.2915 | 21.3029 |
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+ | 0.0824 | 1.26 | 140 | 0.2920 | 21.4382 |
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+ | 0.0923 | 1.35 | 150 | 0.2918 | 21.3875 |
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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.dev0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.7.dev0
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+ - Tokenizers 0.14.1
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