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# mt5-base-finetuned-modernisa

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: 0.3179
- Bleu: 81.9164
- Gen Len: 11.1876

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.4588        | 0.35  | 10000 | 0.4023          | 78.1616 | 11.1577 |
| 0.3982        | 0.71  | 20000 | 0.3584          | 79.3456 | 11.144  |
| 0.3465        | 1.06  | 30000 | 0.3424          | 80.4057 | 11.1625 |
| 0.3236        | 1.42  | 40000 | 0.3349          | 80.9978 | 11.1869 |
| 0.2983        | 1.77  | 50000 | 0.3243          | 81.5426 | 11.1925 |
| 0.278         | 2.13  | 60000 | 0.3210          | 81.794  | 11.2047 |
| 0.2584        | 2.48  | 70000 | 0.3205          | 81.8086 | 11.1986 |
| 0.2609        | 2.84  | 80000 | 0.3179          | 81.9164 | 11.1876 |


### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["versae/modernisa"], "metrics": ["bleu"], "model-index": [{"name": "mt5-base-finetuned-modernisa", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer dataset:versae/modernisa license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #dataset-versae/modernisa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

mt5-base-finetuned-modernisa
============================


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: 0.3179
* Bleu: 81.9164
* Gen Len: 11.1876


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: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3


### Training results



### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.10.0+cu111
* Datasets 1.15.2.dev0
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.10.0+cu111
* Datasets 1.15.2.dev0
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #dataset-versae/modernisa #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: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.10.0+cu111
* Datasets 1.15.2.dev0
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #dataset-versae/modernisa #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: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3### Training results### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.10.0+cu111
* Datasets 1.15.2.dev0
* Tokenizers 0.10.3