End of training
Browse files- README.md +62 -0
- generation_config.json +6 -0
- pytorch_model.bin +2 -2
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: Code_Corrector_Model
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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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# Code_Corrector_Model
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 9.7240
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- Bleu: 0.0
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- Gen Len: 19.0
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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: 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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
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| 13.7281 | 1.0 | 1 | 9.8868 | 0.0 | 19.0 |
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| 14.0714 | 2.0 | 2 | 9.7240 | 0.0 | 19.0 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0+cpu
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.33.0"
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}
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pytorch_model.bin
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training_args.bin
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