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---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2933
## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5922 | 1.0 | 176 | 1.6306 |
| 0.5199 | 2.0 | 352 | 0.3777 |
| 0.4592 | 3.0 | 528 | 0.3371 |
| 0.3187 | 4.0 | 704 | 0.3111 |
| 0.3016 | 5.0 | 880 | 0.2977 |
| 0.2335 | 6.0 | 1056 | 0.2938 |
| 0.1684 | 7.0 | 1232 | 0.2874 |
| 0.1294 | 8.0 | 1408 | 0.2960 |
| 0.1348 | 9.0 | 1584 | 0.2924 |
| 0.137 | 10.0 | 1760 | 0.2933 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2
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