---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: emnlp_test_9clusters_msmarco_bart_large
  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

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: 0.8042
- Bleu: 70.172
- Gen Len: 10.3243

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.96          | 1.0   | 515  | 1.7686          | 33.692  | 11.1826 |
| 1.5254        | 2.0   | 1030 | 1.2312          | 54.1545 | 10.2574 |
| 1.0521        | 3.0   | 1545 | 1.0201          | 62.9221 | 10.3148 |
| 0.8446        | 4.0   | 2060 | 0.8635          | 67.2188 | 10.3663 |
| 0.7339        | 5.0   | 2575 | 0.8200          | 69.3947 | 10.354  |
| 0.6745        | 6.0   | 3090 | 0.8042          | 70.172  | 10.3243 |


### Framework versions

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