---
license: apache-2.0
base_model: allenai/led-base-16384
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: led-base-16384-finetuned-cnn_dailymail
  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-finetuned-cnn_dailymail

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: 1.0670
- Rouge1: 26.5966
- Rouge2: 13.4937
- Rougel: 22.1204
- Rougelsum: 25.0057
- Bleu 1: 4.81
- Bleu 2: 3.2976
- Bleu 3: 2.4273
- Meteor: 13.4385
- Lungime rezumat: 12.5033
- Lungime original: 48.674

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor  | Lungime rezumat | Lungime original |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:---------------:|:----------------:|
| 1.1488        | 1.0   | 7165  | 1.0638          | 26.6263 | 13.2802 | 22.0654 | 25.0416   | 4.7464 | 3.1681 | 2.2958 | 13.3027 | 12.5003         | 48.674           |
| 0.9202        | 2.0   | 14330 | 1.0475          | 26.5843 | 13.4795 | 22.083  | 25.0206   | 4.7096 | 3.1931 | 2.3493 | 13.3342 | 12.4533         | 48.674           |
| 0.7778        | 3.0   | 21495 | 1.0465          | 26.5754 | 13.4585 | 22.0522 | 24.9943   | 4.729  | 3.2152 | 2.3491 | 13.3759 | 12.455          | 48.674           |
| 0.6729        | 4.0   | 28660 | 1.0670          | 26.5966 | 13.4937 | 22.1204 | 25.0057   | 4.81   | 3.2976 | 2.4273 | 13.4385 | 12.5033         | 48.674           |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1