---
tags:
- generated_from_trainer
model-index:
- name: bert-base-greek-uncased-v1-finetuned-imdb
  results: []
---

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

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: 3.3617

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0877        | 1.0   | 45   | 2.9871          |
| 1.2665        | 2.0   | 90   | 2.9228          |
| 1.9122        | 3.0   | 135  | 3.1228          |
| 2.2564        | 4.0   | 180  | 1.6066          |
| 1.9132        | 5.0   | 225  | 2.6351          |
| 1.9952        | 6.0   | 270  | 2.2649          |
| 1.7895        | 7.0   | 315  | 2.3376          |
| 2.0415        | 8.0   | 360  | 1.9894          |
| 1.8113        | 9.0   | 405  | 2.2998          |
| 1.6944        | 10.0  | 450  | 2.1420          |
| 1.7862        | 11.0  | 495  | 2.7167          |
| 1.5657        | 12.0  | 540  | 2.5103          |
| 1.4576        | 13.0  | 585  | 2.0238          |
| 1.3369        | 14.0  | 630  | 2.5880          |
| 1.3598        | 15.0  | 675  | 1.8161          |
| 1.3407        | 16.0  | 720  | 2.4031          |
| 1.3805        | 17.0  | 765  | 2.2539          |
| 1.176         | 18.0  | 810  | 3.2901          |
| 1.1152        | 19.0  | 855  | 2.3024          |
| 1.0629        | 20.0  | 900  | 2.0823          |
| 1.1972        | 21.0  | 945  | 2.9957          |
| 1.1317        | 22.0  | 990  | 2.5360          |
| 1.0396        | 23.0  | 1035 | 1.6268          |
| 0.8686        | 24.0  | 1080 | 3.2657          |
| 1.0526        | 25.0  | 1125 | 3.0398          |
| 0.9023        | 26.0  | 1170 | 2.8197          |
| 0.9539        | 27.0  | 1215 | 3.1922          |
| 0.8699        | 28.0  | 1260 | 1.6943          |
| 0.8669        | 29.0  | 1305 | 2.7801          |
| 0.7893        | 30.0  | 1350 | 2.1385          |
| 0.7462        | 31.0  | 1395 | 2.2881          |
| 0.7627        | 32.0  | 1440 | 3.0789          |
| 0.7536        | 33.0  | 1485 | 2.9320          |
| 0.8317        | 34.0  | 1530 | 3.4081          |
| 0.6749        | 35.0  | 1575 | 2.7531          |
| 0.789         | 36.0  | 1620 | 2.9154          |
| 0.6609        | 37.0  | 1665 | 2.1821          |
| 0.6795        | 38.0  | 1710 | 2.5330          |
| 0.6408        | 39.0  | 1755 | 3.4374          |
| 0.6827        | 40.0  | 1800 | 2.3127          |
| 0.6188        | 41.0  | 1845 | 2.0818          |
| 0.6085        | 42.0  | 1890 | 2.2737          |
| 0.6978        | 43.0  | 1935 | 2.9629          |
| 0.6164        | 44.0  | 1980 | 2.5250          |
| 0.6273        | 45.0  | 2025 | 2.3866          |
| 0.7064        | 46.0  | 2070 | 2.0937          |
| 0.6561        | 47.0  | 2115 | 2.4984          |
| 0.7341        | 48.0  | 2160 | 3.1911          |
| 0.6271        | 49.0  | 2205 | 2.2692          |
| 0.6757        | 50.0  | 2250 | 2.2642          |


### Framework versions

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