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# cu-go-bart-base-gc

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:
- Loss: 1.5455
- Rouge1: 53.0097
- Rouge2: 29.8987
- Rougel: 37.7495
- Rougelsum: 49.1744
- Gen Len: 106.6047

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| No log        | 1.0   | 86   | 1.6037          | 51.0086 | 27.7443 | 35.7708 | 47.0373   | 108.2442 |
| No log        | 2.0   | 172  | 1.5580          | 53.4388 | 29.9039 | 37.6105 | 49.6511   | 109.1163 |
| No log        | 3.0   | 258  | 1.5455          | 53.0097 | 29.8987 | 37.7495 | 49.1744   | 106.6047 |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "cu-go-bart-base-gc", "results": []}]}
transformers pytorch tensorboard bart text2text-generation generated_from_trainer base_model:facebook/bart-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us