metadata
library_name: peft
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B
tags:
- base_model:adapter:meta-llama/Meta-Llama-3.1-8B
- lora
- transformers
model-index:
- name: Llama_StereoDetect_Model
results: []
Llama_StereoDetect_Model
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2245
- Pearson: 0.9717
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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|---|---|---|---|---|
| No log | 1.0 | 190 | 0.2520 | 0.9378 |
| No log | 2.0 | 380 | 0.1941 | 0.9587 |
| 0.3006 | 3.0 | 570 | 0.1892 | 0.9609 |
| 0.3006 | 4.0 | 760 | 0.2140 | 0.9709 |
| 0.3006 | 5.0 | 950 | 0.2245 | 0.9717 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 4.0.0
- Tokenizers 0.22.0