metadata
tags:
- generated_from_trainer
datasets:
- roneneldan/TinyStories
metrics:
- accuracy
model-index:
- name: gpt2_m070_tiny-stories_1024
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: roneneldan/TinyStories
type: roneneldan/TinyStories
metrics:
- name: Accuracy
type: accuracy
value: 0.6783595560713086
gpt2_m070_tiny-stories_1024
This model is a fine-tuned version of on the roneneldan/TinyStories dataset. It achieves the following results on the evaluation set:
- Loss: 1.2096
- Accuracy: 0.6784
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 |
|---|---|---|---|---|
| 2.8977 | 0.0523 | 1000 | 2.4285 | 0.4506 |
| 1.9691 | 0.1045 | 2000 | 1.7883 | 0.5700 |
| 1.7235 | 0.1568 | 3000 | 1.6068 | 0.6021 |
| 1.6024 | 0.2091 | 4000 | 1.5058 | 0.6207 |
| 1.5325 | 0.2613 | 5000 | 1.4471 | 0.6315 |
| 1.481 | 0.3136 | 6000 | 1.4035 | 0.6400 |
| 1.4382 | 0.3659 | 7000 | 1.3690 | 0.6468 |
| 1.4083 | 0.4181 | 8000 | 1.3372 | 0.6527 |
| 1.3835 | 0.4704 | 9000 | 1.3157 | 0.6568 |
| 1.3618 | 0.5227 | 10000 | 1.2963 | 0.6608 |
| 1.3439 | 0.5750 | 11000 | 1.2785 | 0.6642 |
| 1.3279 | 0.6272 | 12000 | 1.2658 | 0.6668 |
| 1.3158 | 0.6795 | 13000 | 1.2528 | 0.6693 |
| 1.3022 | 0.7318 | 14000 | 1.2427 | 0.6714 |
| 1.295 | 0.7840 | 15000 | 1.2337 | 0.6733 |
| 1.285 | 0.8363 | 16000 | 1.2253 | 0.6751 |
| 1.2774 | 0.8886 | 17000 | 1.2190 | 0.6765 |
| 1.2734 | 0.9408 | 18000 | 1.2134 | 0.6776 |
| 1.2705 | 0.9931 | 19000 | 1.2098 | 0.6783 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1