metadata
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2.5-14B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c99c8f74-fd24-4742-8426-7adc50a8155c
results: []
c99c8f74-fd24-4742-8426-7adc50a8155c
This model is a fine-tuned version of unsloth/Qwen2.5-14B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3655
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 | 0.4167 |
| 0.4057 | 0.0019 | 50 | 0.3134 |
| 0.3041 | 0.0038 | 100 | 0.3664 |
| 0.3991 | 0.0058 | 150 | 0.3292 |
| 0.2156 | 0.0077 | 200 | 0.3655 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1