---
library_name: transformers
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led-base-16384-finetune-paperLedWeSAttG0.1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# led-base-16384-finetune-paperLedWeSAttG0.1

This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2011
- Rouge1: 35.5263
- Rouge2: 7.9295
- Rougel: 18.4211
- Rougelsum: 34.6491
- Gen Len: 1.0

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.2793        | 0.9993 | 1128 | 3.3552          | 31.1966 | 6.4378 | 17.9487 | 31.1966   | 1.0     |
| 3.071         | 1.9993 | 2256 | 3.2495          | 33.7182 | 9.2807 | 16.1663 | 33.2564   | 1.0     |
| 2.9601        | 2.9993 | 3384 | 3.2011          | 35.5263 | 7.9295 | 18.4211 | 34.6491   | 1.0     |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1