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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: allenai/scibert_scivocab_uncased |
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model-index: |
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- name: scibert_scivocab_uncased-finetuned-Astronomy_Thesaurus |
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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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# scibert_scivocab_uncased-finetuned-Astronomy_Thesaurus |
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3610 |
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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: 0.0001 |
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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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| 1.5303 | 1.0 | 879 | 1.3800 | |
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| 1.4977 | 2.0 | 1758 | 1.4101 | |
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| 1.4942 | 3.0 | 2637 | 1.3678 | |
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| 1.4662 | 4.0 | 3516 | 1.3817 | |
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| 1.4748 | 5.0 | 4395 | 1.3750 | |
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| 1.4629 | 6.0 | 5274 | 1.3611 | |
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| 1.4763 | 7.0 | 6153 | 1.3643 | |
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| 1.453 | 8.0 | 7032 | 1.3713 | |
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| 1.4603 | 9.0 | 7911 | 1.3871 | |
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| 1.4697 | 10.0 | 8790 | 1.3610 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
