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--- |
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library_name: transformers |
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license: mit |
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base_model: vblagoje/bart_lfqa |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BART_HYDROGEN_GENERATION_QA |
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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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# BART_HYDROGEN_GENERATION_QA |
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This model is a fine-tuned version of [vblagoje/bart_lfqa](https://huggingface.co/vblagoje/bart_lfqa) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5046 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.2697 | 0.2092 | 100 | 0.5574 | |
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| 1.0628 | 0.4184 | 200 | 0.5151 | |
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| 1.0037 | 0.6276 | 300 | 0.5066 | |
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| 0.9652 | 0.8368 | 400 | 0.4842 | |
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| 0.9284 | 1.0460 | 500 | 0.4974 | |
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| 0.8272 | 1.2552 | 600 | 0.5046 | |
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### Framework versions |
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- Transformers 4.46.0 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
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