metadata
library_name: peft
license: gemma
base_model: unsloth/gemma-2-2b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 5a4bf373-7928-4fea-aea6-2b0160f5d1c9
results: []
5a4bf373-7928-4fea-aea6-2b0160f5d1c9
This model is a fine-tuned version of unsloth/gemma-2-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3595
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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0000 | 1 | 1.6350 |
| 1.3774 | 0.0008 | 50 | 1.4623 |
| 1.3825 | 0.0017 | 100 | 1.4445 |
| 1.3845 | 0.0025 | 150 | 1.4355 |
| 1.2979 | 0.0033 | 200 | 1.4278 |
| 1.3492 | 0.0041 | 250 | 1.4065 |
| 1.2435 | 0.0050 | 300 | 1.3964 |
| 1.2813 | 0.0058 | 350 | 1.3751 |
| 1.3393 | 0.0066 | 400 | 1.3661 |
| 1.3273 | 0.0075 | 450 | 1.3599 |
| 1.2704 | 0.0083 | 500 | 1.3595 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1