careerbot_PG6_meta-llama_Llama-3.2-1B-Instruct_model_LoRA
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9585
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 800
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.42 | 1.0 | 674 | 3.9585 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.5.0+cu124
- Datasets 2.19.0
- Tokenizers 0.20.1
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Model tree for Hazde/careerbot_PG6_meta-llama_Llama-3.2-1B-Instruct_model_LoRA
Base model
meta-llama/Llama-3.2-1B-Instruct