metadata
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3838a51b-0133-48f9-9615-bfd2e48c9d48
results: []
3838a51b-0133-48f9-9615-bfd2e48c9d48
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: 11.5435
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: 0.000209
- train_batch_size: 4
- eval_batch_size: 4
- seed: 90
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
- training_steps: 9000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0003 | 1 | 11.9301 |
| 11.6397 | 0.1437 | 500 | 11.6333 |
| 11.6184 | 0.2875 | 1000 | 11.6053 |
| 11.5982 | 0.4312 | 1500 | 11.5863 |
| 11.5901 | 0.5749 | 2000 | 11.5739 |
| 11.585 | 0.7186 | 2500 | 11.5655 |
| 11.5789 | 0.8624 | 3000 | 11.5599 |
| 11.6416 | 1.0061 | 3500 | 11.5548 |
| 11.5702 | 1.1498 | 4000 | 11.5518 |
| 11.5693 | 1.2936 | 4500 | 11.5500 |
| 11.5647 | 1.4373 | 5000 | 11.5480 |
| 11.5669 | 1.5810 | 5500 | 11.5469 |
| 11.5674 | 1.7248 | 6000 | 11.5459 |
| 11.5629 | 1.8685 | 6500 | 11.5448 |
| 11.6249 | 2.0122 | 7000 | 11.5443 |
| 11.5669 | 2.1559 | 7500 | 11.5441 |
| 11.562 | 2.2997 | 8000 | 11.5435 |
| 11.5595 | 2.4434 | 8500 | 11.5435 |
| 11.5535 | 2.5871 | 9000 | 11.5435 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1