---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-transcript-summarizer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-large-cnn-transcript-summarizer

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3148
- Rouge1: 40.9221
- Rouge2: 20.8127
- Rougel: 31.264
- Rougelsum: 37.9164
- Gen Len: 60.044

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.3091        | 1.0   | 3683 | 0.3163          | 40.7512 | 20.5582 | 31.1674 | 38.0718   | 60.0978 |
| 0.2138        | 2.0   | 7366 | 0.3148          | 40.9221 | 20.8127 | 31.264  | 37.9164   | 60.044  |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 3.6.0
- Tokenizers 0.15.2