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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: git-base-xr
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results: []
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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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# git-base-xr
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0641
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- Bleu: 9.4387
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 3.5821 | 5.26 | 50 | 1.2163 | 4.6142 |
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| 0.8599 | 10.53 | 100 | 0.8719 | 10.5680 |
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| 0.5491 | 15.79 | 150 | 0.8546 | 9.7374 |
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| 0.3605 | 21.05 | 200 | 0.8975 | 10.2395 |
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| 0.2409 | 26.32 | 250 | 0.9652 | 9.8718 |
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| 0.1664 | 31.58 | 300 | 1.0042 | 11.7264 |
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| 0.1234 | 36.84 | 350 | 1.0462 | 10.5668 |
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| 0.1002 | 42.11 | 400 | 1.0569 | 9.7232 |
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| 0.0876 | 47.37 | 450 | 1.0641 | 9.4387 |
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### Framework versions
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- Transformers 4.27.3
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.7
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- Tokenizers 0.13.3
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