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# mt5-simplification-spanish-clara-med

This model is a fine-tuned version of [oskrmiguel/mt5-simplification-spanish](https://huggingface.co/oskrmiguel/mt5-simplification-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9610
- Rouge1: 33.7922
- Rouge2: 19.5758
- Rougel: 31.3737
- Rougelsum: 31.3428

## 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: 5.6e-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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 190  | 2.6876          | 32.236  | 18.2352 | 29.7852 | 29.7539   |
| No log        | 2.0   | 380  | 2.4617          | 32.8521 | 18.9712 | 30.4958 | 30.4635   |
| 3.3018        | 3.0   | 570  | 2.3487          | 33.2554 | 19.3441 | 30.9036 | 30.8525   |
| 3.3018        | 4.0   | 760  | 2.2711          | 33.0105 | 19.01   | 30.6851 | 30.5767   |
| 2.7431        | 5.0   | 950  | 2.2254          | 33.1301 | 18.9618 | 30.6744 | 30.6284   |
| 2.7431        | 6.0   | 1140 | 2.1847          | 33.3701 | 19.1884 | 30.9138 | 30.8611   |
| 2.7431        | 7.0   | 1330 | 2.1443          | 33.3158 | 19.101  | 30.8317 | 30.7747   |
| 2.5154        | 8.0   | 1520 | 2.1072          | 33.1638 | 19.0139 | 30.7295 | 30.7162   |
| 2.5154        | 9.0   | 1710 | 2.0989          | 33.4925 | 19.2107 | 31.0253 | 30.9908   |
| 2.3763        | 10.0  | 1900 | 2.0709          | 33.3007 | 18.9519 | 30.847  | 30.8018   |
| 2.3763        | 11.0  | 2090 | 2.0631          | 33.4689 | 19.1995 | 31.0712 | 31.0327   |
| 2.3763        | 12.0  | 2280 | 2.0418          | 33.2536 | 19.027  | 30.898  | 30.8695   |
| 2.2811        | 13.0  | 2470 | 2.0345          | 33.5097 | 19.2219 | 31.1057 | 31.0683   |
| 2.2811        | 14.0  | 2660 | 2.0185          | 33.3544 | 19.1241 | 30.913  | 30.8873   |
| 2.2173        | 15.0  | 2850 | 2.0138          | 33.3856 | 19.2065 | 31.0173 | 30.9447   |
| 2.2173        | 16.0  | 3040 | 2.0019          | 33.4035 | 19.1803 | 31.0154 | 30.981    |
| 2.2173        | 17.0  | 3230 | 1.9977          | 33.4059 | 19.3078 | 31.1196 | 31.0692   |
| 2.1612        | 18.0  | 3420 | 1.9883          | 33.5097 | 19.3637 | 31.0966 | 31.0554   |
| 2.1612        | 19.0  | 3610 | 1.9828          | 33.4965 | 19.2754 | 31.1267 | 31.1021   |
| 2.1115        | 20.0  | 3800 | 1.9834          | 33.7514 | 19.5325 | 31.2833 | 31.2418   |
| 2.1115        | 21.0  | 3990 | 1.9754          | 33.6193 | 19.429  | 31.2721 | 31.2267   |
| 2.1115        | 22.0  | 4180 | 1.9716          | 33.5212 | 19.3637 | 31.1326 | 31.1162   |
| 2.0824        | 23.0  | 4370 | 1.9667          | 33.5156 | 19.3223 | 31.1023 | 31.0709   |
| 2.0824        | 24.0  | 4560 | 1.9735          | 33.6089 | 19.3842 | 31.1539 | 31.1419   |
| 2.0657        | 25.0  | 4750 | 1.9674          | 33.6317 | 19.4044 | 31.2361 | 31.2222   |
| 2.0657        | 26.0  | 4940 | 1.9617          | 33.745  | 19.5099 | 31.3061 | 31.2643   |
| 2.0657        | 27.0  | 5130 | 1.9613          | 33.7798 | 19.5496 | 31.3761 | 31.3356   |
| 2.0511        | 28.0  | 5320 | 1.9635          | 33.8568 | 19.594  | 31.4454 | 31.4141   |
| 2.0511        | 29.0  | 5510 | 1.9609          | 33.805  | 19.5962 | 31.393  | 31.3493   |
| 2.0377        | 30.0  | 5700 | 1.9610          | 33.7922 | 19.5758 | 31.3737 | 31.3428   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1

{"license": "cc-by-nc-sa-4.0", "tags": ["simplification", "generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "mt5-simplification-spanish-clara-med", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation simplification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #simplification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

mt5-simplification-spanish-clara-med
====================================


This model is a fine-tuned version of oskrmiguel/mt5-simplification-spanish on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.9610
* Rouge1: 33.7922
* Rouge2: 19.5758
* Rougel: 31.3737
* Rougelsum: 31.3428


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: 5.6e-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: 30


### Training results



### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.0
* Datasets 2.8.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-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: 30 ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.0
* Datasets 2.8.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #simplification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-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: 30 ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.0
* Datasets 2.8.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #simplification #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-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: 30### Training results### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.0
* Datasets 2.8.0
* Tokenizers 0.12.1