---
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- summarization
- generated_from_trainer
model-index:
- name: led
  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

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:
- eval_loss: 2.5049
- eval_rouge1_precision: 0.2436
- eval_rouge1_recall: 0.3162
- eval_rouge1_fmeasure: 0.2711
- eval_runtime: 3740.5655
- eval_samples_per_second: 0.802
- eval_steps_per_second: 0.025
- epoch: 0.13
- step: 30

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1