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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-ft-v10 |
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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-ft-v10 |
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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: 0.6076 |
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- Rouge1: 64.7797 |
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- Rouge2: 49.8902 |
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- Rougel: 62.433 |
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- Rougelsum: 61.8109 |
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- Gen Len: 12.9286 |
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## Model description |
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More information needed |
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### FORMAT |
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[BUG] reader = ReaderFactory.newXmlReader( null) ; [CONTEXT] outputFile = output.getFile(); } Reader reader; try { if (inputEncoding != null) { if (parser.getType() == Parser.XML_TYPE) { <extra_id_0> } else { reader = ReaderFactory.newReader(inputFile, inputEncoding); } } else { reader = ReaderFactory.newPlatformReader(inputFile); } |
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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: 4 |
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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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| No log | 1.0 | 19 | 1.9088 | 54.5113 | 41.9981 | 53.7739 | 53.7474 | 12.3286 | |
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| No log | 2.0 | 38 | 1.1442 | 66.1136 | 56.2675 | 65.0547 | 64.8304 | 12.4857 | |
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| No log | 3.0 | 57 | 0.6821 | 67.6198 | 52.8142 | 64.9905 | 64.3787 | 13.3429 | |
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| No log | 4.0 | 76 | 0.6076 | 64.7797 | 49.8902 | 62.433 | 61.8109 | 12.9286 | |
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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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