---
license: apache-2.0
base_model: EleutherAI/pythia-70m
tags:
- generated_from_trainer
model-index:
- name: polish_wikipedia_model
  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. -->

# polish_wikipedia_model

This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0319

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 133  | 0.4322          |
| No log        | 2.0   | 266  | 0.3766          |
| No log        | 3.0   | 399  | 0.3599          |
| 0.4669        | 4.0   | 532  | 0.3247          |
| 0.4669        | 5.0   | 665  | 0.2830          |
| 0.4669        | 6.0   | 798  | 0.2628          |
| 0.4669        | 7.0   | 931  | 0.2573          |
| 0.3481        | 8.0   | 1064 | 0.2443          |
| 0.3481        | 9.0   | 1197 | 0.1904          |
| 0.3481        | 10.0  | 1330 | 0.1799          |
| 0.3481        | 11.0  | 1463 | 0.1475          |
| 0.2502        | 12.0  | 1596 | 0.1292          |
| 0.2502        | 13.0  | 1729 | 0.1168          |
| 0.2502        | 14.0  | 1862 | 0.1103          |
| 0.2502        | 15.0  | 1995 | 0.0989          |
| 0.1572        | 16.0  | 2128 | 0.0890          |
| 0.1572        | 17.0  | 2261 | 0.0736          |
| 0.1572        | 18.0  | 2394 | 0.0672          |
| 0.1007        | 19.0  | 2527 | 0.0592          |
| 0.1007        | 20.0  | 2660 | 0.0550          |
| 0.1007        | 21.0  | 2793 | 0.0517          |
| 0.1007        | 22.0  | 2926 | 0.0497          |
| 0.0674        | 23.0  | 3059 | 0.0458          |
| 0.0674        | 24.0  | 3192 | 0.0421          |
| 0.0674        | 25.0  | 3325 | 0.0394          |
| 0.0674        | 26.0  | 3458 | 0.0378          |
| 0.0491        | 27.0  | 3591 | 0.0357          |
| 0.0491        | 28.0  | 3724 | 0.0337          |
| 0.0491        | 29.0  | 3857 | 0.0323          |
| 0.0491        | 30.0  | 3990 | 0.0319          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1