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# cu-go-bart-large-gc

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3380
- Rouge1: 56.6424
- Rouge2: 31.6294
- Rougel: 38.8938
- Rougelsum: 51.9078
- Gen Len: 119.4535

## 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   | 1.3532          | 54.8564 | 29.5263 | 36.6465 | 50.2558   | 116.6512 |
| No log        | 2.0   | 172  | 1.3118          | 56.6239 | 31.6121 | 39.2945 | 51.7651   | 117.9419 |
| No log        | 3.0   | 258  | 1.3380          | 56.6424 | 31.6294 | 38.8938 | 51.9078   | 119.4535 |


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