---
library_name: transformers
license: mit
base_model: openai-community/gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: tinystories_upsampled_tom
  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/ptsvil/tom-training/runs/t2roxoo7)
# tinystories_upsampled_tom

This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6461

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.8989        | 0.1051 | 400   | 1.8900          |
| 1.8563        | 0.2102 | 800   | 1.8378          |
| 1.8476        | 0.3153 | 1200  | 1.7993          |
| 1.8063        | 0.4204 | 1600  | 1.7859          |
| 1.7846        | 0.5255 | 2000  | 1.7627          |
| 1.7625        | 0.6306 | 2400  | 1.7536          |
| 1.7617        | 0.7357 | 2800  | 1.7368          |
| 1.7527        | 0.8408 | 3200  | 1.7257          |
| 1.7714        | 0.9459 | 3600  | 1.7172          |
| 1.6993        | 1.0510 | 4000  | 1.7162          |
| 1.6844        | 1.1561 | 4400  | 1.7071          |
| 1.6898        | 1.2612 | 4800  | 1.7007          |
| 1.6678        | 1.3663 | 5200  | 1.6925          |
| 1.7036        | 1.4714 | 5600  | 1.6887          |
| 1.6849        | 1.5765 | 6000  | 1.6817          |
| 1.6781        | 1.6816 | 6400  | 1.6764          |
| 1.6228        | 1.7867 | 6800  | 1.6712          |
| 1.6467        | 1.8918 | 7200  | 1.6679          |
| 1.6672        | 1.9969 | 7600  | 1.6619          |
| 1.6092        | 2.1020 | 8000  | 1.6652          |
| 1.6181        | 2.2071 | 8400  | 1.6615          |
| 1.6183        | 2.3122 | 8800  | 1.6566          |
| 1.6101        | 2.4173 | 9200  | 1.6573          |
| 1.6009        | 2.5224 | 9600  | 1.6515          |
| 1.6002        | 2.6275 | 10000 | 1.6520          |
| 1.6387        | 2.7326 | 10400 | 1.6497          |
| 1.6401        | 2.8377 | 10800 | 1.6477          |
| 1.6186        | 2.9428 | 11200 | 1.6466          |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.19.1