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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: aochildes-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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# aochildes-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: 4.1414 |
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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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| 6.3548 | 0.29 | 500 | 5.3339 | |
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| 5.0444 | 0.59 | 1000 | 4.9261 | |
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| 4.7132 | 0.88 | 1500 | 4.6909 | |
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| 4.4499 | 1.17 | 2000 | 4.5531 | |
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| 4.3078 | 1.47 | 2500 | 4.4357 | |
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| 4.2045 | 1.76 | 3000 | 4.3447 | |
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| 4.0812 | 2.05 | 3500 | 4.2654 | |
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| 3.8961 | 2.35 | 4000 | 4.2330 | |
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| 3.8785 | 2.64 | 4500 | 4.1725 | |
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| 3.8431 | 2.93 | 5000 | 4.1244 | |
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| 3.6353 | 3.23 | 5500 | 4.1232 | |
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| 3.5952 | 3.52 | 6000 | 4.1008 | |
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| 3.5747 | 3.81 | 6500 | 4.0651 | |
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| 3.4761 | 4.11 | 7000 | 4.0742 | |
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| 3.3222 | 4.4 | 7500 | 4.0703 | |
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| 3.3167 | 4.69 | 8000 | 4.0574 | |
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| 3.3126 | 4.99 | 8500 | 4.0452 | |
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| 3.149 | 5.28 | 9000 | 4.0642 | |
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| 3.1431 | 5.57 | 9500 | 4.0633 | |
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| 3.1358 | 5.87 | 10000 | 4.0628 | |
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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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