metadata
base_model: google/gemma-2-2b
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: resultsmath
results: []
resultsmath
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6493
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0611 | 1.0 | 525 | 1.7073 |
| 1.7284 | 2.0 | 1050 | 1.6493 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1