metadata
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c8038877-817b-4835-97ac-6a49b034bc00
results: []
c8038877-817b-4835-97ac-6a49b034bc00
This model is a fine-tuned version of unsloth/Qwen2-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2725
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: 0.000215
- train_batch_size: 4
- eval_batch_size: 4
- seed: 150
- 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 | 0.0006 | 1 | 2.7593 |
| 1.0018 | 0.0288 | 50 | 1.4175 |
| 0.7892 | 0.0576 | 100 | 1.4868 |
| 0.8345 | 0.0864 | 150 | 1.5111 |
| 0.7475 | 0.1152 | 200 | 1.3708 |
| 0.7694 | 0.1441 | 250 | 1.3522 |
| 0.7995 | 0.1729 | 300 | 1.2939 |
| 0.7331 | 0.2017 | 350 | 1.2823 |
| 0.7806 | 0.2305 | 400 | 1.2758 |
| 0.7941 | 0.2593 | 450 | 1.2717 |
| 0.7293 | 0.2881 | 500 | 1.2725 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1