I messed up on the previous model. This is a fixed version.
A tiny 1B model that refuses basically anything you ask it! Trained on the refusal dataset. Prompt format is ChatML.
Training results:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4352 | 0.0580 | 1 | 2.4462 |
| 1.5741 | 0.5217 | 9 | 1.4304 |
| 1.5204 | 1.0435 | 18 | 1.3701 |
| 1.0794 | 1.5217 | 27 | 1.3505 |
| 1.1275 | 2.0435 | 36 | 1.3344 |
| 0.6652 | 2.5217 | 45 | 1.4360 |
| 0.6248 | 3.0435 | 54 | 1.4313 |
| 0.6142 | 3.5072 | 63 | 1.4934 |
Training hyperparemeters:
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 4
Base model: https://huggingface.co./TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
- Downloads last month
- 22
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.