---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarize_model_2
  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. -->

# summarize_model_2

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9198
- Rouge1: 0.2393
- Rouge2: 0.1023
- Rougel: 0.1976
- Rougelsum: 0.2243
- Gen Len: 20.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 100  | 1.9729          | 0.2374 | 0.099  | 0.1962 | 0.2216    | 20.0    |
| No log        | 2.0   | 200  | 1.9565          | 0.2398 | 0.1018 | 0.1972 | 0.2238    | 20.0    |
| No log        | 3.0   | 300  | 1.9241          | 0.2377 | 0.0991 | 0.1959 | 0.2215    | 20.0    |
| No log        | 4.0   | 400  | 1.9198          | 0.2393 | 0.1023 | 0.1976 | 0.2243    | 20.0    |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3