---
library_name: transformers
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- generated_from_trainer
datasets:
- scientific_lay_summarisation
model-index:
- name: led_summarizer
  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. -->

# led_summarizer

This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the scientific_lay_summarisation dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6657

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.2606        | 0.1067 | 10   | 3.0145          |
| 3.1127        | 0.2133 | 20   | 2.8998          |
| 2.9749        | 0.32   | 30   | 2.8432          |
| 2.9502        | 0.4267 | 40   | 2.7848          |
| 2.8664        | 0.5333 | 50   | 2.7457          |
| 2.8505        | 0.64   | 60   | 2.7244          |
| 2.7979        | 0.7467 | 70   | 2.6993          |
| 2.778         | 0.8533 | 80   | 2.6769          |
| 2.7792        | 0.96   | 90   | 2.6657          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1