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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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datasets: |
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- proto_qa |
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model-index: |
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- name: my_awesome_generation_model |
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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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# my_awesome_generation_model |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the proto_qa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4234 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.6643 | 0.32 | 20 | 2.8379 | |
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| 2.942 | 0.65 | 40 | 2.6090 | |
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| 2.7742 | 0.97 | 60 | 2.5426 | |
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| 2.6329 | 1.29 | 80 | 2.5053 | |
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| 2.5239 | 1.61 | 100 | 2.4791 | |
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| 2.5101 | 1.94 | 120 | 2.4521 | |
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| 2.4416 | 2.26 | 140 | 2.4436 | |
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| 2.3676 | 2.58 | 160 | 2.4405 | |
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| 2.3664 | 2.9 | 180 | 2.4280 | |
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| 2.2977 | 3.23 | 200 | 2.4291 | |
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| 2.2861 | 3.55 | 220 | 2.4216 | |
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| 2.2695 | 3.87 | 240 | 2.4213 | |
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| 2.1973 | 4.19 | 260 | 2.4208 | |
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| 2.1874 | 4.52 | 280 | 2.4216 | |
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| 2.2308 | 4.84 | 300 | 2.4229 | |
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| 2.18 | 5.16 | 320 | 2.4203 | |
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| 2.1711 | 5.48 | 340 | 2.4222 | |
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| 2.1402 | 5.81 | 360 | 2.4208 | |
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| 2.1064 | 6.13 | 380 | 2.4222 | |
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| 2.1189 | 6.45 | 400 | 2.4224 | |
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| 2.0666 | 6.77 | 420 | 2.4228 | |
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| 2.1272 | 7.1 | 440 | 2.4226 | |
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| 2.0448 | 7.42 | 460 | 2.4226 | |
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| 2.123 | 7.74 | 480 | 2.4234 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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