metadata
library_name: transformers
base_model: babylm/babyllama-100m-2024
tags:
- generated_from_trainer
model-index:
- name: babylama-gpttoken
results: []
babylama-gpttoken
This model is a fine-tuned version of babylm/babyllama-100m-2024 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 38.2921
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 30.4256 | 0.9999 | 5559 | 29.8987 |
| 38.306 | 1.9999 | 11119 | 37.7677 |
| 38.7146 | 3.0000 | 16679 | 37.7375 |
| 37.8024 | 4.0 | 22239 | 38.2709 |
| 37.35 | 4.9993 | 27795 | 38.2921 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1