Chris Alexiuk commited on
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ai-maker-space/Transformers-Workshop-GPT-Generation

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README.md ADDED
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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: lyric-gpt
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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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+ # lyric-gpt
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.4526
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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: 0.0001
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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: 30
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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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+ | 3.5327 | 1.0 | 92 | 3.1885 |
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+ | 2.8988 | 2.0 | 184 | 3.1986 |
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+ | 3.0192 | 3.0 | 276 | 3.2477 |
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+ | 2.5232 | 4.0 | 368 | 3.3318 |
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+ | 2.3098 | 5.0 | 460 | 3.3899 |
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+ | 2.1412 | 6.0 | 552 | 3.5328 |
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+ | 2.3526 | 7.0 | 644 | 3.6322 |
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+ | 2.06 | 8.0 | 736 | 3.7834 |
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+ | 1.9477 | 9.0 | 828 | 3.8887 |
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+ | 1.6156 | 10.0 | 920 | 4.0527 |
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+ | 1.5496 | 11.0 | 1012 | 4.2364 |
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+ | 1.5933 | 12.0 | 1104 | 4.3163 |
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+ | 1.3698 | 13.0 | 1196 | 4.4754 |
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+ | 1.308 | 14.0 | 1288 | 4.5911 |
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+ | 1.1803 | 15.0 | 1380 | 4.6902 |
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+ | 1.0212 | 16.0 | 1472 | 4.7977 |
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+ | 0.9838 | 17.0 | 1564 | 4.9419 |
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+ | 1.0065 | 18.0 | 1656 | 4.9470 |
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+ | 0.8158 | 19.0 | 1748 | 5.0347 |
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+ | 0.8352 | 20.0 | 1840 | 5.1256 |
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+ | 0.8759 | 21.0 | 1932 | 5.1902 |
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+ | 0.7176 | 22.0 | 2024 | 5.2542 |
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+ | 0.7457 | 23.0 | 2116 | 5.2947 |
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+ | 0.6683 | 24.0 | 2208 | 5.3511 |
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+ | 0.6095 | 25.0 | 2300 | 5.3680 |
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+ | 0.6247 | 26.0 | 2392 | 5.3916 |
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+ | 0.5827 | 27.0 | 2484 | 5.4273 |
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+ | 0.5742 | 28.0 | 2576 | 5.4394 |
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+ | 0.5334 | 29.0 | 2668 | 5.4477 |
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+ | 0.6028 | 30.0 | 2760 | 5.4526 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "layer_norm_epsilon": 1e-05,
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