---
base_model: EleutherAI/pythia-31m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BL-pythia-31m-simple_wikipedia_LM-2048
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BL-pythia-31m-simple_wikipedia_LM-2048

This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6874
- Accuracy: 0.4105

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 80085
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.0657        | 0.22  | 100  | 5.6210          | 0.2414   |
| 5.2447        | 0.45  | 200  | 4.9316          | 0.3054   |
| 4.8397        | 0.67  | 300  | 4.6011          | 0.3343   |
| 4.7933        | 0.9   | 400  | 4.3878          | 0.3530   |
| 4.274         | 1.12  | 500  | 4.2352          | 0.3646   |
| 4.4867        | 1.35  | 600  | 4.1224          | 0.3723   |
| 4.3434        | 1.57  | 700  | 4.0282          | 0.3791   |
| 4.1857        | 1.8   | 800  | 3.9552          | 0.3841   |
| 4.229         | 2.02  | 900  | 3.8890          | 0.3909   |
| 3.9189        | 2.25  | 1000 | 3.8301          | 0.3967   |
| 4.084         | 2.47  | 1100 | 3.7782          | 0.4023   |
| 3.8965        | 2.7   | 1200 | 3.7302          | 0.4069   |
| 3.915         | 2.92  | 1300 | 3.6874          | 0.4105   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.2.0.dev20230907+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3