update model card README.md
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README.md
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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: gpt2-concat-second
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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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# gpt2-concat-second
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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: 4.4093
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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: 10
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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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| 6.711 | 0.29 | 500 | 5.6208 |
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| 5.3435 | 0.58 | 1000 | 5.1863 |
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| 4.9977 | 0.87 | 1500 | 4.9356 |
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| 4.7238 | 1.16 | 2000 | 4.7808 |
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| 4.5616 | 1.45 | 2500 | 4.6578 |
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| 4.4521 | 1.74 | 3000 | 4.5583 |
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| 4.3507 | 2.02 | 3500 | 4.4795 |
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| 4.1437 | 2.31 | 4000 | 4.4376 |
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| 4.129 | 2.6 | 4500 | 4.3853 |
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| 4.0958 | 2.89 | 5000 | 4.3390 |
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| 3.9296 | 3.18 | 5500 | 4.3405 |
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| 3.872 | 3.47 | 6000 | 4.3100 |
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| 3.8718 | 3.76 | 6500 | 4.2778 |
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| 3.8129 | 4.05 | 7000 | 4.2807 |
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| 3.6119 | 4.34 | 7500 | 4.2889 |
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| 3.6442 | 4.63 | 8000 | 4.2643 |
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| 3.6512 | 4.92 | 8500 | 4.2401 |
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| 3.4369 | 5.21 | 9000 | 4.2896 |
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| 3.3929 | 5.49 | 9500 | 4.2802 |
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| 3.4208 | 5.78 | 10000 | 4.2633 |
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| 3.3458 | 6.07 | 10500 | 4.2979 |
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| 3.1476 | 6.36 | 11000 | 4.3171 |
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| 3.167 | 6.65 | 11500 | 4.3077 |
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| 3.1818 | 6.94 | 12000 | 4.3004 |
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| 2.9662 | 7.23 | 12500 | 4.3516 |
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| 2.9402 | 7.52 | 13000 | 4.3580 |
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| 2.9564 | 7.81 | 13500 | 4.3569 |
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| 2.8891 | 8.1 | 14000 | 4.3801 |
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| 2.771 | 8.39 | 14500 | 4.3916 |
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| 2.7762 | 8.68 | 15000 | 4.3955 |
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| 2.7847 | 8.96 | 15500 | 4.3958 |
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| 2.6985 | 9.25 | 16000 | 4.4069 |
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| 2.6903 | 9.54 | 16500 | 4.4089 |
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| 2.6938 | 9.83 | 17000 | 4.4093 |
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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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