---
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_longformer_model
  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. -->

# my_awesome_longformer_model

This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4077
- Rouge1: 0.0238
- Rouge2: 0.0067
- Rougel: 0.0222
- Rougelsum: 0.0239
- 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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   | 1    | 2.8467          | 0.0088 | 0.0    | 0.0088 | 0.0086    | 20.0    |
| No log        | 2.0   | 2    | 1.8386          | 0.0244 | 0.0032 | 0.0204 | 0.0219    | 20.0    |
| No log        | 3.0   | 3    | 1.5336          | 0.0231 | 0.0048 | 0.0214 | 0.0228    | 20.0    |
| No log        | 4.0   | 4    | 1.4077          | 0.0238 | 0.0067 | 0.0222 | 0.0239    | 20.0    |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2