End of training
Browse files- README.md +80 -0
- generation_config.json +6 -0
README.md
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---
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library_name: transformers
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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-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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# codeparrot-ds-model
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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: 0.9508
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 5000
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- num_epochs: 3
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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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| 2.4147 | 0.1533 | 10000 | 1.5844 |
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| 1.5331 | 0.3065 | 20000 | 1.4038 |
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| 1.421 | 0.4598 | 30000 | 1.3327 |
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| 1.3676 | 0.6131 | 40000 | 1.2921 |
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| 1.3318 | 0.7664 | 50000 | 1.2646 |
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| 1.3047 | 0.9196 | 60000 | 1.2363 |
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| 1.2733 | 1.0729 | 70000 | 1.2123 |
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| 1.2476 | 1.2262 | 80000 | 1.1855 |
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| 1.2243 | 1.3795 | 90000 | 1.1622 |
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| 1.1982 | 1.5327 | 100000 | 1.1366 |
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| 1.1711 | 1.6860 | 110000 | 1.1095 |
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| 1.1426 | 1.8393 | 120000 | 1.0828 |
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| 1.115 | 1.9926 | 130000 | 1.0541 |
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| 1.0758 | 2.1458 | 140000 | 1.0275 |
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| 1.0497 | 2.2991 | 150000 | 1.0044 |
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| 1.0264 | 2.4524 | 160000 | 0.9821 |
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| 1.0054 | 2.6056 | 170000 | 0.9649 |
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| 0.9895 | 2.7589 | 180000 | 0.9547 |
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| 0.9827 | 2.9122 | 190000 | 0.9508 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.3.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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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": "4.48.3"
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}
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