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---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test_sum_abs_bart-base_wasa_coref_stops
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. -->
# test_sum_abs_bart-base_wasa_coref_stops
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: 0.2847
- Rouge1: 0.3924
- Rouge2: 0.2979
- Rougel: 0.3606
- Rougelsum: 0.3603
- Gen Len: 20.0
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.3752 | 1.0 | 1632 | 0.3126 | 0.3887 | 0.2965 | 0.3586 | 0.3582 | 19.9997 |
| 0.3192 | 2.0 | 3264 | 0.2995 | 0.3852 | 0.2901 | 0.3536 | 0.3532 | 20.0 |
| 0.2879 | 3.0 | 4896 | 0.2863 | 0.3933 | 0.2989 | 0.3621 | 0.362 | 19.9997 |
| 0.2625 | 4.0 | 6528 | 0.2847 | 0.3924 | 0.2979 | 0.3606 | 0.3603 | 20.0 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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