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# mt5-small-finetuned-14feb-9

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3688
- Rouge1: 19.51
- Rouge2: 6.13
- Rougel: 19.33

## 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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 5.1754        | 1.0   | 311  | 2.6631          | 14.74  | 4.65   | 14.58  |
| 3.3235        | 2.0   | 622  | 2.5226          | 16.71  | 5.39   | 16.6   |
| 3.0994        | 3.0   | 933  | 2.4776          | 16.71  | 4.96   | 16.5   |
| 2.9608        | 4.0   | 1244 | 2.4551          | 17.92  | 5.15   | 17.7   |
| 2.8595        | 5.0   | 1555 | 2.4158          | 18.67  | 5.34   | 18.32  |
| 2.7933        | 6.0   | 1866 | 2.4059          | 18.35  | 5.33   | 18.14  |
| 2.7253        | 7.0   | 2177 | 2.4008          | 18.16  | 5.22   | 18.03  |
| 2.681         | 8.0   | 2488 | 2.3924          | 18.85  | 5.6    | 18.61  |
| 2.6286        | 9.0   | 2799 | 2.3811          | 18.99  | 5.44   | 18.8   |
| 2.6005        | 10.0  | 3110 | 2.3869          | 19.16  | 5.49   | 18.96  |
| 2.5682        | 11.0  | 3421 | 2.3796          | 19.59  | 5.7    | 19.27  |
| 2.546         | 12.0  | 3732 | 2.3623          | 18.75  | 5.78   | 18.56  |
| 2.5351        | 13.0  | 4043 | 2.3676          | 19.02  | 5.65   | 18.74  |
| 2.529         | 14.0  | 4354 | 2.3626          | 19.39  | 5.99   | 19.05  |
| 2.4941        | 15.0  | 4665 | 2.3688          | 19.51  | 6.13   | 19.33  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "mt5-small-finetuned-14feb-9", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #summarization #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

mt5-small-finetuned-14feb-9
===========================


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


* Loss: 2.3688
* Rouge1: 19.51
* Rouge2: 6.13
* Rougel: 19.33


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: 0.0001
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #summarization #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: 0.0001
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #summarization #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: 0.0001
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 15### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2