---
tags:
- generated_from_trainer
base_model: nlpaueb/bert-base-greek-uncased-v1
model-index:
- name: bert-base-greek-uncased-v1-finetuned-polylex
  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. -->

# bert-base-greek-uncased-v1-finetuned-polylex

This model is a fine-tuned version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1624

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1637        | 1.0   | 12   | 2.6649          |
| 3.0581        | 2.0   | 24   | 2.5475          |
| 2.648         | 3.0   | 36   | 2.1624          |
| 2.5983        | 4.0   | 48   | 2.3285          |
| 2.7524        | 5.0   | 60   | 2.5745          |
| 2.4923        | 6.0   | 72   | 2.8096          |
| 2.5336        | 7.0   | 84   | 2.9470          |
| 2.3271        | 8.0   | 96   | 2.5497          |
| 2.4018        | 9.0   | 108  | 2.3413          |
| 2.544         | 10.0  | 120  | 2.4170          |
| 1.9144        | 11.0  | 132  | 2.5254          |
| 2.0996        | 12.0  | 144  | 2.4147          |
| 1.8733        | 13.0  | 156  | 2.5462          |
| 1.8261        | 14.0  | 168  | 2.2045          |
| 2.0033        | 15.0  | 180  | 1.9549          |
| 1.9967        | 16.0  | 192  | 2.1614          |
| 1.8515        | 17.0  | 204  | 2.8167          |
| 1.8583        | 18.0  | 216  | 2.8441          |
| 1.7512        | 19.0  | 228  | 2.4536          |
| 1.5746        | 20.0  | 240  | 2.6204          |
| 1.5267        | 21.0  | 252  | 2.9290          |
| 1.7248        | 22.0  | 264  | 2.0433          |
| 1.5692        | 23.0  | 276  | 2.4710          |
| 1.6093        | 24.0  | 288  | 2.4340          |
| 1.619         | 25.0  | 300  | 2.2689          |
| 1.4406        | 26.0  | 312  | 3.6729          |
| 1.5452        | 27.0  | 324  | 3.2225          |
| 1.4575        | 28.0  | 336  | 1.8853          |
| 1.5534        | 29.0  | 348  | 2.2135          |
| 1.4872        | 30.0  | 360  | 2.7540          |
| 1.3923        | 31.0  | 372  | 2.2408          |
| 1.3682        | 32.0  | 384  | 2.5181          |
| 1.2623        | 33.0  | 396  | 2.1360          |
| 1.1888        | 34.0  | 408  | 2.3912          |
| 1.3427        | 35.0  | 420  | 2.4600          |
| 1.1969        | 36.0  | 432  | 2.6388          |
| 1.3367        | 37.0  | 444  | 2.5489          |
| 1.226         | 38.0  | 456  | 1.5805          |
| 1.1808        | 39.0  | 468  | 2.7466          |
| 1.1694        | 40.0  | 480  | 2.4887          |
| 1.2736        | 41.0  | 492  | 2.5735          |
| 1.2292        | 42.0  | 504  | 2.2357          |
| 1.2556        | 43.0  | 516  | 2.9244          |
| 1.0155        | 44.0  | 528  | 1.8348          |
| 1.2425        | 45.0  | 540  | 2.4494          |
| 1.2665        | 46.0  | 552  | 2.4866          |
| 1.3439        | 47.0  | 564  | 2.3430          |
| 1.4468        | 48.0  | 576  | 1.7801          |
| 1.1772        | 49.0  | 588  | 2.5785          |
| 1.0618        | 50.0  | 600  | 2.9959          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3