license: apache-2.0 | |
base_model: facebook/bart-base | |
tags: | |
- generated_from_keras_callback | |
model-index: | |
- name: bart-1 | |
results: [] | |
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probably proofread and complete it, then remove this comment. --> | |
# bart-1 | |
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: | |
- Train Loss: 2.8511 | |
- Validation Loss: 2.1184 | |
- Train Rouge1: 0.3060 | |
- Train Rouge2: 0.1137 | |
- Train Rougel: 0.2614 | |
- Epoch: 0 | |
## 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: | |
- optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} | |
- training_precision: float32 | |
### Training results | |
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Epoch | | |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:-----:| | |
| 2.8511 | 2.1184 | 0.3060 | 0.1137 | 0.2614 | 0 | | |
### Framework versions | |
- Transformers 4.33.0 | |
- TensorFlow 2.10.1 | |
- Datasets 2.14.4 | |
- Tokenizers 0.13.3 | |