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--- |
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license: apache-2.0 |
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base_model: Salesforce/codet5-small |
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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: codet5-small-v3 |
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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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# codet5-small-v3 |
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This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1896 |
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- Rouge1: 75.8334 |
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- Rouge2: 66.86 |
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- Rougel: 75.2774 |
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- Rougelsum: 75.2871 |
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- Gen Len: 17.1755 |
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## Model description |
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Trained, |
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- dataset: chathuranga-jayanath/context-5-predict-token-for-fine-tune-without-comments-from-finmath |
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- epochs: 3 |
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- metric: rouge |
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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: 2e-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: 3 |
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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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| 0.0947 | 1.0 | 9734 | 0.1817 | 75.816 | 66.5223 | 75.2217 | 75.2268 | 17.1902 | |
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| 0.0622 | 2.0 | 19468 | 0.1886 | 75.8598 | 66.7948 | 75.3022 | 75.3025 | 17.1922 | |
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| 0.0572 | 3.0 | 29202 | 0.1896 | 75.8334 | 66.86 | 75.2774 | 75.2871 | 17.1755 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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