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# greek-mt5-4ep-384

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3009

## 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
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2429        | 0.34  | 100  | 1.6027          |
| 1.9207        | 0.67  | 200  | 1.4479          |
| 1.8066        | 1.01  | 300  | 1.3978          |
| 1.7074        | 1.35  | 400  | 1.3752          |
| 1.6697        | 1.69  | 500  | 1.3437          |
| 1.6326        | 2.03  | 600  | 1.3319          |
| 1.5928        | 2.36  | 700  | 1.3191          |
| 1.5773        | 2.7   | 800  | 1.3219          |
| 1.5644        | 3.04  | 900  | 1.3152          |
| 1.5462        | 3.38  | 1000 | 1.3056          |
| 1.5285        | 3.72  | 1100 | 1.3009          |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
{"language": ["el"], "license": "apache-2.0", "tags": ["question-generation", "e2e-question-generation"], "datasets": ["SQuAD_el"], "model-index": [{"name": "greek-mt5-4ep-384", "results": []}]}
transformers pytorch mt5 text2text-generation question-generation e2e-question-generation el dataset:SQuAD_el license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #question-generation #e2e-question-generation #el #dataset-SQuAD_el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

greek-mt5-4ep-384
=================


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


* Loss: 1.3009


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
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4


### Training results



### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4 ### Training results ### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #mt5 #text2text-generation #question-generation #e2e-question-generation #el #dataset-SQuAD_el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #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
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4 ### Training results ### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #mt5 #text2text-generation #question-generation #e2e-question-generation #el #dataset-SQuAD_el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #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
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4### Training results### Framework versions


* Transformers 4.27.0.dev0
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2