transformers safetensors bart text2text-generation generated_from_trainer base_model:facebook/bart-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-mawpnli-calcx-nli-pt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-mawpnli-calcx-nli-pt

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: 0.1453
- Rouge1: 93.7662
- Rouge2: 86.4184
- Rougel: 93.67
- Rougelsum: 93.6822
- Gen Len: 12.2028

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.2619        | 1.0   | 819  | 0.1578          | 91.4167 | 81.2366 | 91.3175 | 91.299    | 11.9994 |
| 0.0848        | 2.0   | 1638 | 0.1296          | 92.7573 | 84.2145 | 92.6627 | 92.6429   | 12.2395 |
| 0.0537        | 3.0   | 2457 | 0.1217          | 93.2594 | 85.3616 | 93.145  | 93.1393   | 12.1851 |
| 0.0278        | 4.0   | 3276 | 0.1358          | 93.6089 | 86.1785 | 93.473  | 93.4733   | 12.2272 |
| 0.0119        | 5.0   | 4095 | 0.1453          | 93.7662 | 86.4184 | 93.67   | 93.6822   | 12.2028 |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
