metadata
base_model: roneneldan/TinyStories-33M
tags:
- generated_from_trainer
model-index:
- name: answerQuestioning
results: []
answerQuestioning
This model is a fine-tuned version of roneneldan/TinyStories-33M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2416
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4151 | 1.0 | 6142 | 4.3861 |
| 3.8876 | 2.0 | 12284 | 4.2146 |
| 3.5052 | 3.0 | 18426 | 4.2416 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2