---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg_2
model-index:
- name: greek-nllb-4ep-512
  results: []
---

<!-- 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-nllb-4ep-512

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the squad_modified_for_t5_qg_2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2852

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2208        | 0.17  | 100  | 1.5566          |
| 1.7198        | 0.34  | 200  | 1.4767          |
| 1.5435        | 0.51  | 300  | 1.4467          |
| 1.5017        | 0.67  | 400  | 1.3955          |
| 1.4569        | 0.84  | 500  | 1.3711          |
| 1.4496        | 1.01  | 600  | 1.3556          |
| 1.3174        | 1.18  | 700  | 1.3488          |
| 1.3025        | 1.35  | 800  | 1.3398          |
| 1.3013        | 1.52  | 900  | 1.3286          |
| 1.2938        | 1.69  | 1000 | 1.3161          |
| 1.2984        | 1.86  | 1100 | 1.3057          |
| 1.2494        | 2.03  | 1200 | 1.3097          |
| 1.1843        | 2.2   | 1300 | 1.2985          |
| 1.1868        | 2.36  | 1400 | 1.3021          |
| 1.1875        | 2.53  | 1500 | 1.2958          |
| 1.1854        | 2.7   | 1600 | 1.2987          |
| 1.1818        | 2.87  | 1700 | 1.2885          |
| 1.1696        | 3.04  | 1800 | 1.2912          |
| 1.1108        | 3.21  | 1900 | 1.2880          |
| 1.1301        | 3.38  | 2000 | 1.2889          |
| 1.1139        | 3.55  | 2100 | 1.2869          |
| 1.1098        | 3.72  | 2200 | 1.2879          |
| 1.1073        | 3.88  | 2300 | 1.2852          |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2