metadata
base_model: google/gemma-2-2b-it
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: model
results: []
model
This model is a fine-tuned version of google/gemma-2-2b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8753
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 4856
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.995) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0282 | 0.9999 | 3912 | 1.9913 |
| 1.8359 | 1.9999 | 7824 | 1.8753 |
Framework versions
- PEFT 0.14.0
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0