Syn Combined Data-Aug Models
Collection
3 items • Updated
context
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1785
- Accuracy: 0.2448
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: 40
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.276 | 0.8306 | 500 | 5.1785 | 0.2448 |
| 0.5321 | 1.6611 | 1000 | 5.2637 | 0.2565 |
| 0.3538 | 2.4917 | 1500 | 5.4336 | 0.2552 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- -
Model tree for layai/syn-combined-context
Base model
meta-llama/Meta-Llama-3-8B