---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: emnlp_test_9clusters_msmarco_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_msmarco_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: 0.6447
- Bleu: 77.0949
- Gen Len: 10.5172

## 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: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.8802        | 1.0   | 1250 | 1.1652          | 53.9226 | 10.7576 |
| 0.8808        | 2.0   | 2500 | 0.8230          | 68.163  | 10.5673 |
| 0.6896        | 3.0   | 3750 | 0.7116          | 73.3521 | 10.6162 |
| 0.5654        | 4.0   | 5000 | 0.7829          | 75.4941 | 10.449  |
| 0.5079        | 5.0   | 6250 | 0.6514          | 76.6795 | 10.5106 |
| 0.4738        | 6.0   | 7500 | 0.6447          | 77.0949 | 10.5172 |


### Framework versions

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