---
library_name: transformers
base_model: tniranjan/finetuned_gptneo-base-tinystories-ta_v3
tags:
- generated_from_trainer
model-index:
- name: finetuned_gptneo-base-tinystories-ta_v3_finetune_atnstories_2
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tniranjan-/Kurunkathai/runs/kjkh5rg4)
# finetuned_gptneo-base-tinystories-ta_v3_finetune_atnstories_2

This model is a fine-tuned version of [tniranjan/finetuned_gptneo-base-tinystories-ta_v3](https://huggingface.co/tniranjan/finetuned_gptneo-base-tinystories-ta_v3) on an unknown dataset.

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 40
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0