MobileLLM_Finetune_onDialogueDataset_32k
This model is a fine-tuned version of jinunyachhyon/MobileLLM_Finetune_onDialogueDataset on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0771
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0747 | 1.0 | 7355 | 0.0775 |
| 0.0741 | 2.0 | 14710 | 0.0776 |
| 0.0706 | 3.0 | 22065 | 0.0775 |
| 0.0726 | 4.0 | 29420 | 0.0770 |
| 0.0713 | 5.0 | 36775 | 0.0771 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2