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---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: es_fi_all_quy
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. -->
# es_fi_all_quy
This model is a fine-tuned version of [nouman-10/es_fi_all_quy](https://huggingface.co/nouman-10/es_fi_all_quy) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4779
- Bleu: 1.6745
- Chrf: 32.4462
- Gen Len: 42.4789
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|
| 0.2977 | 0.09 | 1000 | 0.4895 | 1.4944 | 31.8832 | 41.2596 |
| 0.2977 | 0.17 | 2000 | 0.4870 | 1.3779 | 31.419 | 44.5825 |
| 0.2851 | 0.26 | 3000 | 0.4849 | 1.1958 | 30.8243 | 48.3773 |
| 0.2829 | 0.34 | 4000 | 0.4828 | 1.7102 | 31.6821 | 43.6841 |
| 0.2881 | 0.43 | 5000 | 0.4822 | 1.8438 | 32.6924 | 39.0855 |
| 0.2847 | 0.51 | 6000 | 0.4796 | 1.2714 | 31.2343 | 49.8511 |
| 0.2812 | 0.6 | 7000 | 0.4799 | 1.7161 | 32.2005 | 46.3149 |
| 0.2753 | 0.68 | 8000 | 0.4790 | 1.2392 | 32.7687 | 40.1841 |
| 0.282 | 0.77 | 9000 | 0.4804 | 1.3175 | 32.1637 | 41.4537 |
| 0.2743 | 0.85 | 10000 | 0.4784 | 1.4782 | 32.5727 | 42.0936 |
| 0.2719 | 0.94 | 11000 | 0.4781 | 1.5137 | 31.9548 | 44.4477 |
| 0.2668 | 1.02 | 12000 | 0.4797 | 1.1151 | 31.5602 | 43.9336 |
| 0.2638 | 1.11 | 13000 | 0.4779 | 1.6745 | 32.4462 | 42.4789 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
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