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

# Long_attention_Longformer

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: 1.8677
- Bleu: 20.8728
- Meteor: 0.4023
- Comet: 0.4747

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu    | Meteor | Comet  |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
| 2.2865        | 0.9994 | 786  | 2.1788          | 13.5745 | 0.2981 | 0.3646 |
| 2.0517        | 2.0    | 1573 | 1.8939          | 19.3520 | 0.3838 | 0.4486 |
| 1.9429        | 2.9981 | 2358 | 1.8313          | 20.8728 | 0.4023 | 0.4747 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.19.1