metadata
library_name: peft
license: other
base_model: Qwen/Qwen1.5-14B-Chat
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 4fcd7d3f-e47a-4c07-a5e7-a766c5cf5067
results: []
4fcd7d3f-e47a-4c07-a5e7-a766c5cf5067
This model is a fine-tuned version of Qwen/Qwen1.5-14B-Chat on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3565
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: 0.000218
- 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 | 0.0004 | 1 | 4.3035 |
| 1.4426 | 0.0184 | 50 | 1.6589 |
| 1.4403 | 0.0368 | 100 | 1.5630 |
| 1.3411 | 0.0552 | 150 | 1.5263 |
| 1.341 | 0.0736 | 200 | 1.4966 |
| 1.2896 | 0.0920 | 250 | 1.4555 |
| 1.2336 | 0.1104 | 300 | 1.4275 |
| 1.2777 | 0.1287 | 350 | 1.4000 |
| 1.2902 | 0.1471 | 400 | 1.3681 |
| 1.2669 | 0.1655 | 450 | 1.3588 |
| 1.2717 | 0.1839 | 500 | 1.3565 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1