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# mt5-small-finetuned-amazon-en-es

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0135
- Rouge1: 16.5421
- Rouge2: 7.9012
- Rougel: 16.2574
- Rougelsum: 16.1537

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.4509        | 1.0   | 1209 | 3.1308          | 17.5055 | 8.164  | 16.9714 | 16.8977   |
| 3.4226        | 2.0   | 2418 | 3.0489          | 16.7302 | 8.1598 | 16.3268 | 16.3168   |
| 3.286         | 3.0   | 3627 | 3.0366          | 16.7244 | 7.9017 | 16.3893 | 16.3728   |
| 3.1859        | 4.0   | 4836 | 3.0219          | 16.9671 | 8.0508 | 16.6206 | 16.5261   |
| 3.1249        | 5.0   | 6045 | 3.0353          | 17.3032 | 8.0195 | 16.9664 | 16.972    |
| 3.0665        | 6.0   | 7254 | 3.0272          | 17.0115 | 7.88   | 16.7424 | 16.7476   |
| 3.0407        | 7.0   | 8463 | 3.0122          | 17.3339 | 8.0171 | 16.9919 | 16.9449   |
| 3.0248        | 8.0   | 9672 | 3.0135          | 16.5421 | 7.9012 | 16.2574 | 16.1537   |


### Framework versions

- Transformers 4.29.1
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "mt5-small-finetuned-amazon-en-es", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

mt5-small-finetuned-amazon-en-es
================================


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


* Loss: 3.0135
* Rouge1: 16.5421
* Rouge2: 7.9012
* Rougel: 16.2574
* Rougelsum: 16.1537


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: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 8


### Training results



### Framework versions


* Transformers 4.29.1
* Pytorch 1.13.1
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-05
* 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: linear
* num\_epochs: 8 ### Training results ### Framework versions


* Transformers 4.29.1
* Pytorch 1.13.1
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #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: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 8 ### Training results ### Framework versions


* Transformers 4.29.1
* Pytorch 1.13.1
* Datasets 2.12.0
* Tokenizers 0.13.3