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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- generator |
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model-index: |
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- name: cbt-gutenberg_fixed-notm-log-rarity-seed |
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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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# cbt-gutenberg_fixed-notm-log-rarity-seed |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1166 |
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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: 64 |
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- eval_batch_size: 64 |
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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: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 6 |
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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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| 6.3486 | 0.29 | 500 | 5.3406 | |
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| 5.0309 | 0.58 | 1000 | 4.9285 | |
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| 4.7101 | 0.87 | 1500 | 4.6879 | |
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| 4.4621 | 1.17 | 2000 | 4.5500 | |
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| 4.2913 | 1.46 | 2500 | 4.4298 | |
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| 4.2026 | 1.75 | 3000 | 4.3310 | |
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| 4.0829 | 2.04 | 3500 | 4.2546 | |
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| 3.8956 | 2.33 | 4000 | 4.2130 | |
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| 3.8692 | 2.62 | 4500 | 4.1583 | |
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| 3.8292 | 2.91 | 5000 | 4.1132 | |
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| 3.6507 | 3.21 | 5500 | 4.1047 | |
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| 3.5891 | 3.5 | 6000 | 4.0753 | |
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| 3.5712 | 3.79 | 6500 | 4.0432 | |
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| 3.4932 | 4.08 | 7000 | 4.0421 | |
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| 3.3212 | 4.37 | 7500 | 4.0385 | |
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| 3.3167 | 4.66 | 8000 | 4.0261 | |
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| 3.3035 | 4.95 | 8500 | 4.0122 | |
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| 3.1681 | 5.24 | 9000 | 4.0240 | |
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| 3.1387 | 5.54 | 9500 | 4.0244 | |
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| 3.1401 | 5.83 | 10000 | 4.0231 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
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