End of training
Browse files- README.md +71 -0
- generation_config.json +6 -0
README.md
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---
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: codeparrot-ds
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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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# codeparrot-ds
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.8844
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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: 0.0005
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 1
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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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| 9.4802 | 0.09 | 10 | 8.0848 |
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| 7.1562 | 0.18 | 20 | 7.0980 |
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| 6.7304 | 0.27 | 30 | 6.8591 |
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| 6.4473 | 0.36 | 40 | 6.5896 |
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| 6.1701 | 0.45 | 50 | 6.3632 |
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| 5.9031 | 0.54 | 60 | 6.1809 |
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| 5.7632 | 0.64 | 70 | 6.0362 |
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| 5.6136 | 0.73 | 80 | 5.9606 |
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| 5.5312 | 0.82 | 90 | 5.9088 |
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| 5.5063 | 0.91 | 100 | 5.8893 |
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| 5.4845 | 1.0 | 110 | 5.8844 |
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### Framework versions
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- Transformers 4.36.0
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- Pytorch 2.0.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": 0,
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"eos_token_id": 0,
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"transformers_version": "4.36.0"
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}
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