---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- rouge
- wer
model-index:
- name: BART_1st_STAGE_SUMMARIZER
  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. -->

# BART_1st_STAGE_SUMMARIZER

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: 1.1826
- Rouge1: 0.7384
- Rouge2: 0.5134
- Rougel: 0.6809
- Rougelsum: 0.6852
- Wer: 0.3923

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| No log        | 0.21  | 250  | 1.3973          | 0.7211 | 0.486  | 0.6611 | 0.6661    | 0.417  |
| 1.969         | 0.42  | 500  | 1.2499          | 0.7303 | 0.4988 | 0.67   | 0.6745    | 0.4056 |
| 1.969         | 0.63  | 750  | 1.2039          | 0.734  | 0.5068 | 0.6761 | 0.6798    | 0.3977 |
| 1.3659        | 0.84  | 1000 | 1.1826          | 0.7384 | 0.5134 | 0.6809 | 0.6852    | 0.3923 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2