d5195ed4-92ed-4c6d-a869-8ad925e4ccfc
This model is a fine-tuned version of Artples/L-MChat-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2493
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0003 | 1 | 1.2985 |
| 1.7314 | 0.0170 | 50 | 1.2492 |
| 2.1393 | 0.0340 | 100 | 1.4029 |
| 2.2692 | 0.0509 | 150 | 1.3480 |
| 1.9959 | 0.0679 | 200 | 1.2493 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
Artples/L-MChat-7b