metadata
base_model: roneneldan/TinyStories-33M
tags:
- generated_from_trainer
model-index:
- name: my_model
results: []
my_model
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: 1.0283
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.11 | 2 | 1.1872 |
| No log | 0.22 | 4 | 1.0699 |
| No log | 0.33 | 6 | 1.0373 |
| No log | 0.44 | 8 | 1.0283 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2