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--- |
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license: bsd-3-clause |
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base_model: Salesforce/codegen-350M-mono |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ast_method2test-codegen-350M_v1_v1 |
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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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# ast_method2test-codegen-350M_v1_v1 |
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This model is a fine-tuned version of [Salesforce/codegen-350M-mono](https://huggingface.co/Salesforce/codegen-350M-mono) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2259 |
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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-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 10 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.2695 | 1.0 | 1768 | 0.2096 | |
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| 0.1801 | 2.0 | 3536 | 0.1897 | |
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| 0.1479 | 3.0 | 5304 | 0.1855 | |
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| 0.1245 | 4.0 | 7072 | 0.1904 | |
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| 0.1073 | 5.0 | 8840 | 0.1961 | |
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| 0.0941 | 6.0 | 10608 | 0.2011 | |
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| 0.0831 | 7.0 | 12376 | 0.2081 | |
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| 0.074 | 8.0 | 14144 | 0.2157 | |
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| 0.0667 | 9.0 | 15912 | 0.2209 | |
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| 0.0612 | 10.0 | 17680 | 0.2259 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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