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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: 0.4858
- Bleu: 1.9345
- Chrf: 34.1553
- Gen Len: 38.1579

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|
| 0.2239        | 0.09  | 1000  | 0.4842          | 1.613  | 34.0838 | 37.4266 |
| 0.2256        | 0.17  | 2000  | 0.4808          | 1.5738 | 32.9285 | 43.005  |
| 0.2178        | 0.26  | 3000  | 0.4820          | 1.499  | 32.8545 | 41.5795 |
| 0.2175        | 0.34  | 4000  | 0.4828          | 1.6725 | 33.3302 | 39.0342 |
| 0.223         | 0.43  | 5000  | 0.4864          | 2.343  | 34.8172 | 35.6197 |
| 0.2286        | 0.51  | 6000  | 0.4743          | 1.7218 | 33.6246 | 42.0755 |
| 0.2281        | 0.6   | 7000  | 0.4794          | 1.7699 | 34.7209 | 38.7716 |
| 0.2243        | 0.68  | 8000  | 0.4802          | 1.7605 | 34.16   | 37.6258 |
| 0.236         | 0.77  | 9000  | 0.4772          | 1.5908 | 33.9113 | 39.0543 |
| 0.2309        | 0.85  | 10000 | 0.4756          | 2.0459 | 34.2757 | 38.2404 |
| 0.2303        | 0.94  | 11000 | 0.4762          | 1.8315 | 34.3413 | 37.7465 |
| 0.2218        | 1.02  | 12000 | 0.4860          | 1.8359 | 33.5176 | 38.5392 |
| 0.217         | 1.11  | 13000 | 0.4811          | 1.9919 | 34.0441 | 37.3702 |
| 0.2158        | 1.19  | 14000 | 0.4845          | 1.6391 | 34.5521 | 37.0493 |
| 0.2211        | 1.28  | 15000 | 0.4858          | 1.9345 | 34.1553 | 38.1579 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "es_fi_all_quy", "results": []}]}
transformers pytorch marian text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

es\_fi\_all\_quy
================


This model is a fine-tuned version of nouman-10/es\_fi\_all\_quy on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4858
* Bleu: 1.9345
* Chrf: 34.1553
* Gen Len: 38.1579


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



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.3



### 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 ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.3