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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
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