---
base_model: gpt2
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: tn_updated_v9
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tn_updated_v9

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.1424

## 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: 0.0009
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 8

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.97          | 2.5284 | 500  | 6.3858          |
| 4.6079        | 5.0569 | 1000 | 7.1778          |
| 3.4102        | 7.5853 | 1500 | 8.1424          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1