metadata
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c5e4f9d4-acad-4d0e-a488-a345b7749dbc
results: []
c5e4f9d4-acad-4d0e-a488-a345b7749dbc
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: 11.4832
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: 0.000208
- 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 | 0.0000 | 1 | 11.8944 |
| 11.7363 | 0.0019 | 50 | 11.6686 |
| 11.7054 | 0.0039 | 100 | 11.5725 |
| 11.6763 | 0.0058 | 150 | 11.5264 |
| 11.6435 | 0.0078 | 200 | 11.5120 |
| 11.6347 | 0.0097 | 250 | 11.5040 |
| 11.6283 | 0.0117 | 300 | 11.4945 |
| 11.6121 | 0.0136 | 350 | 11.4873 |
| 11.606 | 0.0156 | 400 | 11.4843 |
| 11.5999 | 0.0175 | 450 | 11.4833 |
| 11.5938 | 0.0194 | 500 | 11.4832 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1