---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: emnlp_test_9clusters_combined_bart_large_200k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# emnlp_test_9clusters_combined_bart_large_200k

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4843
- Bleu: 86.9507
- Gen Len: 10.8804

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.5265        | 1.0   | 5605  | 0.6332          | 79.0951 | 10.8681 |
| 0.3437        | 2.0   | 11210 | 0.4387          | 83.6164 | 10.9593 |
| 0.2586        | 3.0   | 16815 | 0.4504          | 85.3036 | 10.8776 |
| 0.2168        | 4.0   | 22420 | 0.3906          | 86.0988 | 10.97   |
| 0.1835        | 5.0   | 28025 | 0.4560          | 86.677  | 10.893  |
| 0.1665        | 6.0   | 33630 | 0.4843          | 86.9507 | 10.8804 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1