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--- |
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license: mit |
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base_model: microsoft/biogpt |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ajax12_finetuned |
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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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# ajax12_finetuned |
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This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8420 |
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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: 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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.7455 | 1.43 | 1000 | 1.7800 | |
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| 1.4506 | 2.86 | 2000 | 1.7218 | |
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| 1.2631 | 4.29 | 3000 | 1.7590 | |
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| 1.1055 | 5.71 | 4000 | 1.7759 | |
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| 1.0248 | 7.14 | 5000 | 1.8152 | |
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| 0.9481 | 8.57 | 6000 | 1.8341 | |
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| 0.9027 | 10.0 | 7000 | 1.8420 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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