End of training
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- generation_config.json +8 -0
README.md
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---
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license: bsd-3-clause
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base_model: Salesforce/codet5p-770m
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tags:
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- generated_from_trainer
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model-index:
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- name: codet5p-770m
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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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# codet5p-770m
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This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0977
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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: 1e-05
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- train_batch_size: 3
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- eval_batch_size: 3
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 12
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.2015 | 0.9979 | 349 | 0.1049 |
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| 0.1085 | 1.9986 | 699 | 0.1007 |
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| 0.1034 | 2.9993 | 1049 | 0.0991 |
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| 0.1001 | 4.0 | 1399 | 0.0980 |
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| 0.0983 | 4.9893 | 1745 | 0.0977 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"decoder_start_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.41.2"
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}
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