---
license: apache-2.0
tags:
- question-generation
- e2e-question-generation
datasets:
- SQuAD_el
model-index:
- name: greek-mt5-5ep-384
  results: []
language:
- el
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# greek-mt5-5ep-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: 1.2857

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4681        | 0.34  | 100  | 1.6231          |
| 1.9338        | 0.67  | 200  | 1.4427          |
| 1.8008        | 1.01  | 300  | 1.3917          |
| 1.6977        | 1.35  | 400  | 1.3656          |
| 1.6594        | 1.69  | 500  | 1.3360          |
| 1.6202        | 2.03  | 600  | 1.3239          |
| 1.5759        | 2.36  | 700  | 1.3143          |
| 1.5597        | 2.7   | 800  | 1.3093          |
| 1.544         | 3.04  | 900  | 1.3032          |
| 1.519         | 3.38  | 1000 | 1.2930          |
| 1.4996        | 3.72  | 1100 | 1.2923          |
| 1.5022        | 4.05  | 1200 | 1.2852          |
| 1.477         | 4.39  | 1300 | 1.2887          |
| 1.4755        | 4.73  | 1400 | 1.2857          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2