|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: facebook/bart-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: Bart_classifier |
|
|
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_classifier |
|
|
|
|
|
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: 0.5262 |
|
|
|
|
|
## 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: 32 |
|
|
- eval_batch_size: 32 |
|
|
- 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 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 0.2135 | 1.0 | 219 | 0.1489 | |
|
|
| 0.197 | 2.0 | 438 | 0.2690 | |
|
|
| 0.1443 | 3.0 | 657 | 0.1525 | |
|
|
| 0.1655 | 4.0 | 876 | 0.1819 | |
|
|
| 0.0984 | 5.0 | 1095 | 0.1819 | |
|
|
| 0.0854 | 6.0 | 1314 | 0.2220 | |
|
|
| 0.0622 | 7.0 | 1533 | 0.2892 | |
|
|
| 0.0446 | 8.0 | 1752 | 0.3801 | |
|
|
| 0.0171 | 9.0 | 1971 | 0.4832 | |
|
|
| 0.0108 | 10.0 | 2190 | 0.5262 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.41.0 |
|
|
- Pytorch 2.3.0+cu121 |
|
|
- Datasets 2.19.1 |
|
|
- Tokenizers 0.19.1 |
|
|
|
