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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: gpt-m-multi-var |
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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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# gpt-m-multi-var |
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This model is a fine-tuned version of [augustocsc/gpt-m](https://huggingface.co/augustocsc/gpt-m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0023 |
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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: 8 |
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- eval_batch_size: 8 |
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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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- training_steps: 5000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.0053 | 0.55 | 500 | 0.0030 | |
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| 0.0034 | 1.1 | 1000 | 0.0029 | |
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| 0.0027 | 1.65 | 1500 | 0.0034 | |
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| 0.0027 | 2.2 | 2000 | 0.0026 | |
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| 0.0027 | 2.75 | 2500 | 0.0024 | |
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| 0.0027 | 3.3 | 3000 | 0.0024 | |
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| 0.0026 | 3.85 | 3500 | 0.0023 | |
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| 0.0024 | 4.4 | 4000 | 0.0024 | |
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| 0.0024 | 4.95 | 4500 | 0.0023 | |
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| 0.0025 | 5.5 | 5000 | 0.0023 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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