---
tags:
- generated_from_trainer
model-index:
- name: bert-base-greek-uncased-v2-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-v2-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: 2.7748

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9392        | 1.0   | 12   | 2.6722          |
| 0.8066        | 2.0   | 24   | 2.5322          |
| 0.6438        | 3.0   | 36   | 2.2449          |
| 0.5654        | 4.0   | 48   | 2.2614          |
| 0.6796        | 5.0   | 60   | 2.7160          |
| 0.6361        | 6.0   | 72   | 3.0292          |
| 0.6515        | 7.0   | 84   | 3.2517          |
| 0.6073        | 8.0   | 96   | 2.7854          |
| 0.5889        | 9.0   | 108  | 2.4421          |
| 0.7134        | 10.0  | 120  | 2.6351          |
| 0.3772        | 11.0  | 132  | 2.6377          |
| 0.5095        | 12.0  | 144  | 2.5834          |
| 0.3965        | 13.0  | 156  | 2.8454          |
| 0.4555        | 14.0  | 168  | 2.2274          |
| 0.4788        | 15.0  | 180  | 2.2452          |
| 0.543         | 16.0  | 192  | 2.4528          |
| 0.4249        | 17.0  | 204  | 3.1464          |
| 0.5451        | 18.0  | 216  | 2.9913          |
| 0.4661        | 19.0  | 228  | 2.6519          |
| 0.3383        | 20.0  | 240  | 2.9366          |
| 0.3598        | 21.0  | 252  | 3.2501          |
| 0.5232        | 22.0  | 264  | 2.3395          |
| 0.3792        | 23.0  | 276  | 2.8389          |
| 0.4436        | 24.0  | 288  | 2.7843          |
| 0.3975        | 25.0  | 300  | 2.3773          |
| 0.3268        | 26.0  | 312  | 4.0139          |
| 0.4764        | 27.0  | 324  | 3.7974          |
| 0.3743        | 28.0  | 336  | 2.0727          |
| 0.4574        | 29.0  | 348  | 2.5576          |
| 0.5219        | 30.0  | 360  | 3.3557          |
| 0.3854        | 31.0  | 372  | 2.4598          |
| 0.4107        | 32.0  | 384  | 2.8564          |
| 0.3899        | 33.0  | 396  | 2.4589          |
| 0.3655        | 34.0  | 408  | 2.6613          |
| 0.4607        | 35.0  | 420  | 2.7836          |
| 0.3703        | 36.0  | 432  | 2.9499          |
| 0.455         | 37.0  | 444  | 2.9653          |
| 0.4234        | 38.0  | 456  | 1.7769          |
| 0.4161        | 39.0  | 468  | 2.9451          |
| 0.3983        | 40.0  | 480  | 2.6283          |
| 0.5074        | 41.0  | 492  | 2.8233          |
| 0.4793        | 42.0  | 504  | 2.4598          |
| 0.5614        | 43.0  | 516  | 3.3149          |
| 0.4965        | 44.0  | 528  | 2.0932          |
| 0.5946        | 45.0  | 540  | 2.6992          |
| 0.5001        | 46.0  | 552  | 2.7653          |
| 0.6891        | 47.0  | 564  | 2.6126          |
| 0.8634        | 48.0  | 576  | 1.9130          |
| 0.639         | 49.0  | 588  | 2.7710          |
| 0.572         | 50.0  | 600  | 3.3767          |


### Framework versions

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