metadata
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: b4eecd4f-1bd8-41bf-81ec-baf237aa16d7
results: []
b4eecd4f-1bd8-41bf-81ec-baf237aa16d7
This model is a fine-tuned version of katuni4ka/tiny-random-qwen1.5-moe on the None dataset. It achieves the following results on the evaluation set:
- Loss: 11.6879
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: 0.000201
- train_batch_size: 4
- eval_batch_size: 4
- seed: 10
- 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 | 0.0002 | 1 | 11.9445 |
| 11.8991 | 0.0100 | 50 | 11.8800 |
| 11.8379 | 0.0200 | 100 | 11.8417 |
| 11.7772 | 0.0299 | 150 | 11.7982 |
| 11.6699 | 0.0399 | 200 | 11.7403 |
| 11.5849 | 0.0499 | 250 | 11.7134 |
| 11.5688 | 0.0599 | 300 | 11.6989 |
| 11.5485 | 0.0699 | 350 | 11.6922 |
| 11.5111 | 0.0798 | 400 | 11.6887 |
| 11.488 | 0.0898 | 450 | 11.6880 |
| 11.5079 | 0.0998 | 500 | 11.6879 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1