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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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model-index: |
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- name: gptneo-TxtToJson-v0.1.18 |
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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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# gptneo-TxtToJson-v0.1.18 |
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1669 |
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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: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0001 | 1.0 | 219 | 0.9411 | |
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| 0.7298 | 2.0 | 438 | 0.7063 | |
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| 0.4617 | 3.0 | 657 | 0.4989 | |
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| 0.3366 | 4.0 | 876 | 0.3333 | |
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| 0.2295 | 5.0 | 1095 | 0.2569 | |
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| 0.1593 | 6.0 | 1314 | 0.2146 | |
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| 0.1611 | 7.0 | 1533 | 0.1986 | |
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| 0.0983 | 8.0 | 1752 | 0.1866 | |
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| 0.0933 | 9.0 | 1971 | 0.1776 | |
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| 0.0794 | 10.0 | 2190 | 0.1742 | |
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| 0.0743 | 11.0 | 2409 | 0.1734 | |
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| 0.0459 | 12.0 | 2628 | 0.1690 | |
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| 0.0386 | 13.0 | 2847 | 0.1681 | |
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| 0.0261 | 14.0 | 3066 | 0.1673 | |
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| 0.0209 | 15.0 | 3285 | 0.1669 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.2 |
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