metadata
library_name: peft
license: gemma
base_model: google/gemma-2b
tags:
- base_model:adapter:google/gemma-2b
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: gemma2-career-guidance
results: []
gemma2-career-guidance
This model is a fine-tuned version of google/gemma-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1038
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: 0.0002
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2127 | 0.2331 | 100 | 1.2403 |
| 1.1809 | 0.4662 | 200 | 1.1635 |
| 1.1384 | 0.6993 | 300 | 1.1451 |
| 1.0805 | 0.9324 | 400 | 1.1187 |
| 0.8494 | 1.1655 | 500 | 1.1333 |
| 0.9014 | 1.3986 | 600 | 1.1291 |
| 0.8826 | 1.6317 | 700 | 1.1131 |
| 0.8646 | 1.8648 | 800 | 1.1001 |
| 0.619 | 2.0979 | 900 | 1.2390 |
| 0.5687 | 2.3310 | 1000 | 1.2335 |
| 0.582 | 2.5641 | 1100 | 1.2134 |
| 0.5543 | 2.7972 | 1200 | 1.2244 |
| 0.5199 | 3.0303 | 1300 | 1.3083 |
Framework versions
- PEFT 0.18.1
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 4.5.0
- Tokenizers 0.20.3