rogue_llm
This model is a fine-tuned version of GeneZC/MiniChat-1.5-3B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.9718
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: 0.0002
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9708 | 1.0 | 109 | 1.0519 |
| 1.0169 | 2.0 | 218 | 1.0048 |
| 0.9291 | 3.0 | 327 | 0.9689 |
| 0.8302 | 4.0 | 436 | 0.9539 |
| 0.7325 | 5.0 | 545 | 0.9718 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
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Model tree for DiegoAI597/rogue_llm
Base model
GeneZC/MiniChat-1.5-3B