---
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
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# 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: 0.0404

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 133  | 0.4825          |
| No log        | 2.0   | 266  | 0.4049          |
| No log        | 3.0   | 399  | 0.4124          |
| 0.4774        | 4.0   | 532  | 0.2849          |
| 0.4774        | 5.0   | 665  | 0.2543          |
| 0.4774        | 6.0   | 798  | 0.1860          |
| 0.4774        | 7.0   | 931  | 0.1209          |
| 0.2561        | 8.0   | 1064 | 0.0836          |
| 0.2561        | 9.0   | 1197 | 0.0530          |
| 0.2561        | 10.0  | 1330 | 0.0404          |


### Framework versions

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