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sharoz
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codeparrot-small-custom-functions-dataset-python

Text Generation
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gpt2
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: codeparrot-small-custom-functions-dataset-python
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+ results: []
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+ ---
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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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+
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+ # codeparrot-small-custom-functions-dataset-python
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+
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+ This model is a fine-tuned version of [codeparrot/codeparrot-small](https://huggingface.co/codeparrot/codeparrot-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4934
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.2357 | 0.12 | 1 | 0.9450 |
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+ | 1.0585 | 0.25 | 2 | 0.8835 |
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+ | 0.9853 | 0.38 | 3 | 0.8324 |
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+ | 0.9877 | 0.5 | 4 | 0.7932 |
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+ | 1.0075 | 0.62 | 5 | 0.7623 |
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+ | 0.8744 | 0.75 | 6 | 0.7335 |
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+ | 0.8627 | 0.88 | 7 | 0.7091 |
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+ | 0.8615 | 1.0 | 8 | 0.6893 |
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+ | 0.8016 | 1.12 | 9 | 0.6706 |
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+ | 0.7458 | 1.25 | 10 | 0.6540 |
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+ | 0.7335 | 1.38 | 11 | 0.6378 |
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+ | 0.7754 | 1.5 | 12 | 0.6243 |
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+ | 0.7684 | 1.62 | 13 | 0.6107 |
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+ | 0.7335 | 1.75 | 14 | 0.5985 |
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+ | 0.7418 | 1.88 | 15 | 0.5878 |
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+ | 0.5644 | 2.0 | 16 | 0.5792 |
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+ | 0.6464 | 2.12 | 17 | 0.5711 |
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+ | 0.7304 | 2.25 | 18 | 0.5622 |
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+ | 0.6848 | 2.38 | 19 | 0.5545 |
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+ | 0.7221 | 2.5 | 20 | 0.5480 |
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+ | 0.6053 | 2.62 | 21 | 0.5420 |
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+ | 0.6168 | 2.75 | 22 | 0.5370 |
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+ | 0.5823 | 2.88 | 23 | 0.5323 |
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+ | 0.7512 | 3.0 | 24 | 0.5279 |
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+ | 0.5745 | 3.12 | 25 | 0.5241 |
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+ | 0.674 | 3.25 | 26 | 0.5202 |
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+ | 0.5441 | 3.38 | 27 | 0.5167 |
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+ | 0.6236 | 3.5 | 28 | 0.5134 |
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+ | 0.6006 | 3.62 | 29 | 0.5102 |
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+ | 0.6279 | 3.75 | 30 | 0.5072 |
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+ | 0.6257 | 3.88 | 31 | 0.5046 |
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+ | 0.5408 | 4.0 | 32 | 0.5025 |
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+ | 0.5855 | 4.12 | 33 | 0.5004 |
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+ | 0.594 | 4.25 | 34 | 0.4984 |
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+ | 0.5985 | 4.38 | 35 | 0.4970 |
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+ | 0.6279 | 4.5 | 36 | 0.4958 |
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+ | 0.6151 | 4.62 | 37 | 0.4949 |
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+ | 0.5629 | 4.75 | 38 | 0.4942 |
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+ | 0.5148 | 4.88 | 39 | 0.4937 |
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+ | 0.4823 | 5.0 | 40 | 0.4934 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.1
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3