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---
tags:
- generated_from_trainer
datasets:
- roneneldan/TinyStories
metrics:
- accuracy
model-index:
- name: gpt2_u090_tiny-stories_1024_dpos
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: roneneldan/TinyStories
type: roneneldan/TinyStories
metrics:
- name: Accuracy
type: accuracy
value: 0.6847785435700166
---
<!-- 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/scads-nlp/morph-gpt_gpt2_tiny-stories_dpos/runs/4b1lo9lo)
# gpt2_u090_tiny-stories_1024_dpos
This model is a fine-tuned version of [](https://huggingface.co/) on the roneneldan/TinyStories dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1862
- Accuracy: 0.6848
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 2.8979 | 0.0516 | 1000 | 2.4237 | 0.4552 |
| 1.9485 | 0.1032 | 2000 | 1.7736 | 0.5751 |
| 1.6997 | 0.1548 | 3000 | 1.5877 | 0.6077 |
| 1.579 | 0.2063 | 4000 | 1.4891 | 0.6261 |
| 1.5078 | 0.2579 | 5000 | 1.4237 | 0.6382 |
| 1.457 | 0.3095 | 6000 | 1.3794 | 0.6467 |
| 1.4178 | 0.3611 | 7000 | 1.3463 | 0.6529 |
| 1.3857 | 0.4127 | 8000 | 1.3157 | 0.6587 |
| 1.3583 | 0.4643 | 9000 | 1.2949 | 0.6626 |
| 1.3406 | 0.5158 | 10000 | 1.2756 | 0.6667 |
| 1.3224 | 0.5674 | 11000 | 1.2575 | 0.6701 |
| 1.3063 | 0.6190 | 12000 | 1.2455 | 0.6725 |
| 1.2955 | 0.6706 | 13000 | 1.2323 | 0.6752 |
| 1.278 | 0.7222 | 14000 | 1.2199 | 0.6777 |
| 1.2714 | 0.7738 | 15000 | 1.2117 | 0.6794 |
| 1.2587 | 0.8253 | 16000 | 1.2042 | 0.6810 |
| 1.2527 | 0.8769 | 17000 | 1.1961 | 0.6826 |
| 1.2469 | 0.9285 | 18000 | 1.1906 | 0.6838 |
| 1.2434 | 0.9801 | 19000 | 1.1872 | 0.6846 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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