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---
library_name: transformers
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: amb-dataset-factor
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. -->
# amb-dataset-factor
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8578
- Rouge1: 0.6039
- Rouge2: 0.3487
- Rougel: 0.4805
- Rougelsum: 0.4805
- Gen Len: 101.0
## 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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 1 | 1.1889 | 0.5926 | 0.2701 | 0.3828 | 0.3828 | 65.5 |
| No log | 2.0 | 2 | 1.0179 | 0.6489 | 0.3333 | 0.458 | 0.458 | 77.5 |
| No log | 3.0 | 3 | 0.9405 | 0.6084 | 0.2627 | 0.3783 | 0.3783 | 82.5 |
| No log | 4.0 | 4 | 0.8990 | 0.6241 | 0.3058 | 0.4054 | 0.4054 | 86.0 |
| No log | 5.0 | 5 | 0.8814 | 0.6746 | 0.3882 | 0.4842 | 0.4842 | 95.0 |
| No log | 6.0 | 6 | 0.8679 | 0.5554 | 0.3111 | 0.4127 | 0.4127 | 94.5 |
| No log | 7.0 | 7 | 0.8607 | 0.5799 | 0.3016 | 0.4153 | 0.4153 | 100.0 |
| No log | 8.0 | 8 | 0.8578 | 0.6039 | 0.3487 | 0.4805 | 0.4805 | 101.0 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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