---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: emnlp_test_9clusters_msmarco
  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

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2540
- Bleu: 47.8433
- Gen Len: 10.199

## 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: 256
- eval_batch_size: 256
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 258  | 2.6072          | 17.3158 | 10.2598 |
| 3.0968        | 2.0   | 516  | 1.9501          | 29.2696 | 10.5689 |
| 3.0968        | 3.0   | 774  | 1.5769          | 38.3469 | 10.4586 |
| 1.911         | 4.0   | 1032 | 1.3777          | 44.1139 | 10.2272 |
| 1.911         | 5.0   | 1290 | 1.2820          | 46.7911 | 10.2506 |
| 1.5443        | 6.0   | 1548 | 1.2540          | 47.8433 | 10.199  |


### Framework versions

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