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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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