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--- |
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license: mit |
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base_model: facebook/bart-large-mnli |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-large-mnli-Kaggle-Science-LLM-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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# bart-large-mnli-Kaggle-Science-LLM-finetuned |
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This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7109 |
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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: 1 |
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- eval_batch_size: 1 |
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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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| 0.7865 | 1.0 | 800 | 1.1187 | |
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| 0.6785 | 2.0 | 1600 | 1.2005 | |
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| 0.774 | 3.0 | 2400 | 1.1685 | |
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| 0.4621 | 4.0 | 3200 | 1.3130 | |
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| 0.4138 | 5.0 | 4000 | 2.2119 | |
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| 0.3162 | 6.0 | 4800 | 2.0261 | |
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| 0.2778 | 7.0 | 5600 | 1.9403 | |
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| 0.2476 | 8.0 | 6400 | 2.5232 | |
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| 0.1718 | 9.0 | 7200 | 2.6737 | |
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| 0.0869 | 10.0 | 8000 | 2.7109 | |
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### Framework versions |
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- Transformers 4.33.3 |
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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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