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End of training

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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: git-base-naruto
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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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+ # git-base-naruto
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0629
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+ - Wer Score: 6.3548
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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: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 4
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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: 50
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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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+ | 7.2993 | 3.7037 | 50 | 4.4559 | 11.1452 |
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+ | 2.2534 | 7.4074 | 100 | 0.4051 | 0.5 |
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+ | 0.1148 | 11.1111 | 150 | 0.0457 | 0.4032 |
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+ | 0.0153 | 14.8148 | 200 | 0.0451 | 0.4032 |
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+ | 0.0108 | 18.5185 | 250 | 0.0486 | 0.5161 |
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+ | 0.009 | 22.2222 | 300 | 0.0488 | 0.4516 |
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+ | 0.0066 | 25.9259 | 350 | 0.0522 | 0.7419 |
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+ | 0.0054 | 29.6296 | 400 | 0.0538 | 0.4032 |
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+ | 0.0033 | 33.3333 | 450 | 0.0575 | 5.8548 |
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+ | 0.0018 | 37.0370 | 500 | 0.0604 | 4.9839 |
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+ | 0.0009 | 40.7407 | 550 | 0.0625 | 6.2097 |
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+ | 0.0008 | 44.4444 | 600 | 0.0629 | 6.3226 |
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+ | 0.0007 | 48.1481 | 650 | 0.0629 | 6.3548 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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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": "4.40.2"
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+ }
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