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---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: bart-base-sci-tr
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-base-sci-tr
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7617
## 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: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5107 | 1.0 | 1393 | 3.0242 |
| 3.1138 | 2.0 | 2786 | 2.8770 |
| 2.9345 | 3.0 | 4179 | 2.8069 |
| 2.8044 | 4.0 | 5572 | 2.7668 |
| 2.7227 | 5.0 | 6965 | 2.7336 |
| 2.6341 | 6.0 | 8358 | 2.7276 |
| 2.5523 | 7.0 | 9751 | 2.7026 |
| 2.4846 | 8.0 | 11144 | 2.6961 |
| 2.4409 | 9.0 | 12537 | 2.6894 |
| 2.3699 | 10.0 | 13930 | 2.6853 |
| 2.3305 | 11.0 | 15323 | 2.6869 |
| 2.2822 | 12.0 | 16716 | 2.6924 |
| 2.2392 | 13.0 | 18109 | 2.7042 |
| 2.1889 | 14.0 | 19502 | 2.6943 |
| 2.1593 | 15.0 | 20895 | 2.6988 |
| 2.1228 | 16.0 | 22288 | 2.7032 |
| 2.0791 | 17.0 | 23681 | 2.7083 |
| 2.0594 | 18.0 | 25074 | 2.7034 |
| 2.0239 | 19.0 | 26467 | 2.7182 |
| 1.9943 | 20.0 | 27860 | 2.7235 |
| 1.9746 | 21.0 | 29253 | 2.7279 |
| 1.9624 | 22.0 | 30646 | 2.7337 |
| 1.9433 | 23.0 | 32039 | 2.7400 |
| 1.9138 | 24.0 | 33432 | 2.7457 |
| 1.8971 | 25.0 | 34825 | 2.7489 |
| 1.8896 | 26.0 | 36218 | 2.7527 |
| 1.873 | 27.0 | 37611 | 2.7576 |
| 1.8585 | 28.0 | 39004 | 2.7577 |
| 1.8564 | 29.0 | 40397 | 2.7594 |
| 1.852 | 30.0 | 41790 | 2.7617 |
### Framework versions
- Transformers 4.43.4
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.19.1
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