metadata
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3ee349ea-a42b-4ba1-9eca-0cb04a55a667
results: []
3ee349ea-a42b-4ba1-9eca-0cb04a55a667
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: 11.7920
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: 0.000211
- train_batch_size: 4
- eval_batch_size: 4
- seed: 110
- 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 | 11.9334 |
| 11.8775 | 0.0082 | 50 | 11.8840 |
| 11.8536 | 0.0163 | 100 | 11.8639 |
| 11.8233 | 0.0245 | 150 | 11.8314 |
| 11.8236 | 0.0327 | 200 | 11.8154 |
| 11.8038 | 0.0408 | 250 | 11.8065 |
| 11.7963 | 0.0490 | 300 | 11.7977 |
| 11.8009 | 0.0572 | 350 | 11.7945 |
| 11.7954 | 0.0653 | 400 | 11.7928 |
| 11.7993 | 0.0735 | 450 | 11.7921 |
| 11.7991 | 0.0817 | 500 | 11.7920 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1