metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- qing-yao/slightly-cleaner-babylm
metrics:
- accuracy
model-index:
- name: test_seed-42_1e-3
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: qing-yao/slightly-cleaner-babylm
type: qing-yao/slightly-cleaner-babylm
metrics:
- name: Accuracy
type: accuracy
value: 0.4223382514736395
test_seed-42_1e-3
This model was trained from scratch on the qing-yao/slightly-cleaner-babylm dataset. It achieves the following results on the evaluation set:
- Loss: 3.0025
- Accuracy: 0.4223
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.1409 | 1.0 | 1824 | 4.2361 | 0.3072 |
| 4.0561 | 2.0 | 3648 | 3.7116 | 0.3490 |
| 3.6138 | 3.0 | 5472 | 3.4533 | 0.3723 |
| 3.3863 | 4.0 | 7296 | 3.3195 | 0.3850 |
| 3.2557 | 5.0 | 9120 | 3.2404 | 0.3930 |
| 3.188 | 6.0 | 10944 | 3.1924 | 0.3973 |
| 3.1185 | 7.0 | 12768 | 3.1594 | 0.4009 |
| 3.0753 | 8.0 | 14592 | 3.1404 | 0.4029 |
| 3.047 | 9.0 | 16416 | 3.1230 | 0.4046 |
| 3.0232 | 10.0 | 18240 | 3.1120 | 0.4060 |
| 3.008 | 11.0 | 20064 | 3.1057 | 0.4074 |
| 2.9609 | 12.0 | 21888 | 3.1000 | 0.4079 |
| 2.954 | 13.0 | 23712 | 3.0922 | 0.4087 |
| 2.953 | 14.0 | 25536 | 3.0897 | 0.4089 |
| 2.952 | 15.0 | 27360 | 3.0875 | 0.4093 |
| 2.9527 | 16.0 | 29184 | 3.0876 | 0.4098 |
| 2.9549 | 17.0 | 31008 | 3.0856 | 0.4099 |
| 2.9073 | 18.0 | 32832 | 3.0625 | 0.4127 |
| 2.8458 | 19.0 | 34656 | 3.0216 | 0.4183 |
| 2.7073 | 19.9894 | 36460 | 3.0025 | 0.4223 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1