---
base_model: roneneldan/TinyStories-33M
tags:
- generated_from_trainer
model-index:
- name: answerQuestioning
  results: []
---

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# answerQuestioning

This model is a fine-tuned version of [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6514

## 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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.4075        | 1.0   | 768  | 4.8289          |
| 4.614         | 2.0   | 1536 | 4.6794          |
| 4.4446        | 3.0   | 2304 | 4.6514          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2