MobileLLM-125M-e3.9.24.4.2
This model is a fine-tuned version of facebook/MobileLLM-125M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.2822
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 28.0068 | 0.4 | 125 | 6.8459 |
| 25.2506 | 0.8 | 250 | 6.1990 |
| 22.373 | 1.1984 | 375 | 5.5884 |
| 20.0206 | 1.5984 | 500 | 5.2822 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.6.0.dev20241231+cu118
- Datasets 3.0.2
- Tokenizers 0.21.0
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Base model
facebook/MobileLLM-125M