---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: anlp_bart_level_aware
  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. -->

# anlp_bart_level_aware

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: 0.8295

## 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: 3e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9928        | 1.0   | 282  | 0.8691          |
| 0.8659        | 2.0   | 564  | 0.8382          |
| 0.8021        | 3.0   | 846  | 0.8223          |
| 0.7573        | 4.0   | 1128 | 0.8222          |
| 0.7233        | 5.0   | 1410 | 0.8196          |
| 0.6797        | 6.0   | 1692 | 0.8185          |
| 0.663         | 7.0   | 1974 | 0.8195          |
| 0.6427        | 8.0   | 2256 | 0.8198          |
| 0.6308        | 9.0   | 2538 | 0.8273          |
| 0.6161        | 10.0  | 2820 | 0.8295          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.2