transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:facebook/bart-large-cnn base_model:finetune:facebook/bart-large-cnn license:mit autotrain_compatible endpoints_compatible region:us
---
base_model: facebook/bart-large-cnn
license: mit
tags:
- generated_from_trainer
model-index:
- name: text_summarization_bart_v2
  results: []
---

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# text_summarization_bart_v2

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2110

## 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7131        | 1.3624 | 500  | 1.1335          |
| 0.4881        | 2.7248 | 1000 | 1.2110          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
