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--- |
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license: apache-2.0 |
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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: google/flan-t5-large |
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model-index: |
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- name: final_results |
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results: [] |
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datasets: |
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- BioDEX/BioDEX-ICSR |
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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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# final_results |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9155 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.2959 | 1.0 | 1203 | 1.0876 | |
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| 1.1963 | 2.0 | 2406 | 1.0040 | |
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| 1.1396 | 3.0 | 3609 | 0.9608 | |
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| 1.1504 | 4.0 | 4812 | 0.9352 | |
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| 1.0911 | 5.0 | 6015 | 0.9218 | |
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| 1.0224 | 6.0 | 7218 | 0.9155 | |
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### Framework versions |
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- PEFT 0.7.2.dev0 |
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- Transformers 4.37.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
