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

# LongFormer-docNMT

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: 1.6309
- Bleu: 17.1793
- Meteor: 0.3591
- Comet: 0.4192

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|
| 3.1806        | 1.0   | 197  | 1.9841          | 10.0127 | 0.2483 | 0.3147 |
| 2.0319        | 2.0   | 394  | 1.7005          | 15.4518 | 0.3323 | 0.3909 |
| 1.7954        | 3.0   | 591  | 1.6309          | 17.1793 | 0.3591 | 0.4192 |


### Framework versions

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