---
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
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# 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