Dorna2-Llama3.1-8B-Instruct-finetuned
This model is a fine-tuned version of PartAI/Dorna2-Llama3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0417
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
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9932 | 1.0 | 155 | 1.0417 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for barbodnaj/Dorna2-Llama3.1-8B-Instruct-finetuned
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct
Finetuned
PartAI/Dorna2-Llama3.1-8B-Instruct