|
--- |
|
library_name: peft |
|
license: gemma |
|
base_model: unsloth/gemma-2-2b-it |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
model-index: |
|
- name: 53ebba41-01c2-4286-9575-76cecdb01cb3 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
<br> |
|
|
|
# 53ebba41-01c2-4286-9575-76cecdb01cb3 |
|
|
|
This model is a fine-tuned version of [unsloth/gemma-2-2b-it](https://huggingface.co./unsloth/gemma-2-2b-it) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.4255 |
|
|
|
## 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: 0.000204 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- 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 | 0.0001 | 1 | 3.0761 | |
|
| 2.5419 | 0.0032 | 50 | 2.5246 | |
|
| 2.5278 | 0.0064 | 100 | 2.5520 | |
|
| 2.3569 | 0.0096 | 150 | 2.5619 | |
|
| 2.4684 | 0.0128 | 200 | 2.4940 | |
|
| 2.3954 | 0.0160 | 250 | 2.4938 | |
|
| 2.4642 | 0.0192 | 300 | 2.4635 | |
|
| 2.458 | 0.0225 | 350 | 2.4442 | |
|
| 2.3964 | 0.0257 | 400 | 2.4310 | |
|
| 2.4161 | 0.0289 | 450 | 2.4265 | |
|
| 2.5162 | 0.0321 | 500 | 2.4255 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.2 |
|
- Transformers 4.46.0 |
|
- Pytorch 2.5.0+cu124 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
