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Model save

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/git-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: output_dir
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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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+ # output_dir
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+
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+ This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8219
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+ - Wer Score: 4.3488
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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: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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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+ - num_epochs: 3
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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 Score |
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+ |:-------------:|:------:|:----:|:---------------:|:---------:|
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+ | 7.5175 | 0.9091 | 50 | 5.0110 | 10.6279 |
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+ | 3.4896 | 1.8182 | 100 | 1.9416 | 5.2326 |
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+ | 1.353 | 2.7273 | 150 | 0.8219 | 4.3488 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 101,
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+ "eos_token_id": 102,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.41.2"
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+ }
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