metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 001f6180-81db-4962-9193-d8a4d64343a1
results: []
001f6180-81db-4962-9193-d8a4d64343a1
This model is a fine-tuned version of Qwen/Qwen2.5-7B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9297
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: 0.000202
- train_batch_size: 4
- eval_batch_size: 4
- seed: 20
- 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 | 0.0001 | 1 | 3.0709 |
| 2.0757 | 0.0027 | 50 | 2.3378 |
| 2.3127 | 0.0053 | 100 | 2.2303 |
| 2.0277 | 0.0080 | 150 | 2.2053 |
| 1.8988 | 0.0107 | 200 | 2.1351 |
| 1.9091 | 0.0133 | 250 | 2.0794 |
| 2.0524 | 0.0160 | 300 | 2.0210 |
| 1.8683 | 0.0186 | 350 | 1.9792 |
| 1.9059 | 0.0213 | 400 | 1.9474 |
| 1.8299 | 0.0240 | 450 | 1.9319 |
| 1.865 | 0.0266 | 500 | 1.9297 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1