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# mt5-base-gecid23-e3

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2913
- Rouge1: 64.5987
- Rouge2: 58.284
- Rougel: 64.5263
- Rougelsum: 64.5192
- Gen Len: 18.7512

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.5553        | 0.25  | 221  | 0.5815          | 58.7873 | 48.3787 | 58.6622 | 58.6428   | 18.7486 |
| 0.6944        | 0.5   | 442  | 0.5010          | 60.225  | 50.8407 | 60.1109 | 60.0966   | 18.7418 |
| 0.5891        | 0.75  | 663  | 0.4477          | 61.4891 | 53.2811 | 61.4099 | 61.4089   | 18.7588 |
| 0.5145        | 1.0   | 884  | 0.3926          | 62.3704 | 54.3562 | 62.255  | 62.252    | 18.7520 |
| 0.3682        | 1.25  | 1105 | 0.3805          | 62.4976 | 54.8233 | 62.4265 | 62.4327   | 18.7622 |
| 0.3332        | 1.5   | 1326 | 0.3471          | 63.2736 | 56.0263 | 63.1982 | 63.1901   | 18.7495 |
| 0.3097        | 1.75  | 1547 | 0.3173          | 63.5672 | 56.5358 | 63.4813 | 63.4756   | 18.7541 |
| 0.2958        | 2.0   | 1768 | 0.3219          | 63.8092 | 57.1715 | 63.7764 | 63.7692   | 18.7512 |
| 0.1901        | 2.25  | 1989 | 0.3053          | 64.1292 | 57.5296 | 64.052  | 64.0478   | 18.7533 |
| 0.1861        | 2.5   | 2210 | 0.3018          | 64.4658 | 58.0416 | 64.3975 | 64.3918   | 18.7537 |
| 0.1696        | 2.75  | 2431 | 0.2928          | 64.5337 | 58.1328 | 64.4735 | 64.4619   | 18.7507 |
| 0.1691        | 3.0   | 2652 | 0.2913          | 64.5987 | 58.284  | 64.5263 | 64.5192   | 18.7512 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "mt5-base-gecid23-e3", "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-base-gecid23-e3
===================


This model is a fine-tuned version of google/mt5-base on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2913
* Rouge1: 64.5987
* Rouge2: 58.284
* Rougel: 64.5263
* Rougelsum: 64.5192
* Gen Len: 18.7512


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: 0.001
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adafactor
* lr\_scheduler\_type: linear
* num\_epochs: 3


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.001
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adafactor
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* 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: 0.001
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adafactor
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3