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---
base_model: facebook/mbart-large-cc25
tags:
- generated_from_trainer
model-index:
- name: test
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. -->
# test
This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1215
- Gen Len: 17.3533
- Rouge-1: 39.1861
- Rouge-2: 22.0975
- Rouge-l: 38.4014
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- label_smoothing_factor: 0.1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | Rouge-1 | Rouge-2 | Rouge-l |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
| No log | 1.0 | 642 | 3.3523 | 22.5622 | 28.8044 | 14.6813 | 28.1959 |
| No log | 2.0 | 1284 | 2.9887 | 22.7422 | 36.6353 | 19.681 | 35.9403 |
| No log | 3.0 | 1926 | 2.9367 | 20.0578 | 38.6433 | 21.0943 | 37.9327 |
| No log | 4.0 | 2568 | 2.9503 | 18.5644 | 38.6509 | 21.3031 | 37.8452 |
| No log | 5.0 | 3210 | 2.9366 | 17.1689 | 38.8973 | 21.9518 | 38.3012 |
| No log | 6.0 | 3852 | 2.9782 | 19.2489 | 39.5578 | 22.3324 | 38.9385 |
| No log | 7.0 | 4494 | 3.0080 | 19.0422 | 38.1388 | 21.5059 | 37.4054 |
| 2.8286 | 8.0 | 5136 | 3.0908 | 18.4667 | 38.7921 | 21.3614 | 38.0183 |
| 2.8286 | 9.0 | 5778 | 3.1191 | 18.2978 | 39.3199 | 22.3807 | 38.6943 |
| 2.8286 | 10.0 | 6420 | 3.1215 | 17.3533 | 39.1861 | 22.0975 | 38.4014 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
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