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# finetuned-bart-large-mnli-Kaggle-Science-LLM

This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7806

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 200  | 0.4985          |
| No log        | 2.0   | 400  | 0.4977          |
| 0.624         | 3.0   | 600  | 0.5174          |
| 0.624         | 4.0   | 800  | 0.7571          |
| 0.5393        | 5.0   | 1000 | 1.7806          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-mnli", "model-index": [{"name": "finetuned-bart-large-mnli-Kaggle-Science-LLM", "results": []}]}
transformers pytorch bart text-classification generated_from_trainer base_model:facebook/bart-large-mnli license:mit autotrain_compatible endpoints_compatible region:us