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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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metrics: |
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- rouge |
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model-index: |
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- name: GIT_inf_only_ep5 |
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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_inf_only_ep5 |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co./microsoft/git-base) on the Sherlock dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0494 |
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- Rouge1: 44.6137 |
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- Rouge2: 13.6972 |
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- Rougel: 43.5306 |
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- Rougelsum: 43.5484 |
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- Gen Len: 207.45 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 5 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| |
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| 0.0526 | 1.0 | 1586 | 0.0505 | 3.3402 | 0.8279 | 3.239 | 3.2361 | 207.45 | |
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| 0.0457 | 2.0 | 3172 | 0.0496 | 40.1232 | 13.4573 | 39.2584 | 39.2555 | 207.4505 | |
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| 0.0404 | 3.0 | 4758 | 0.0492 | 42.6704 | 12.4947 | 41.5807 | 41.5836 | 207.4505 | |
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| 0.0368 | 4.0 | 6344 | 0.0494 | 44.5041 | 14.6203 | 43.3769 | 43.423 | 207.4505 | |
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| 0.0331 | 5.0 | 7930 | 0.0494 | 44.6137 | 13.6972 | 43.5306 | 43.5484 | 207.45 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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