metadata
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
model-index:
- name: finetuned-bart-large-mnli-Kaggle-Science-LLM
results: []
finetuned-bart-large-mnli-Kaggle-Science-LLM
This model is a fine-tuned version of 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