TinyLinuxDSLM81M_EXTFULL_Instruct
This model is a fine-tuned version of nagrajn/TinyLinuxDSLM81M_EXTFULL on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5143
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9194 | 0.9991 | 843 | 0.8285 |
| 0.7235 | 1.9994 | 1687 | 0.5914 |
| 0.6104 | 2.9973 | 2529 | 0.5143 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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nagrajn/TinyLinuxDSLM81M_EXTFULL