metadata
base_model: Qwen/Qwen2.5-7B-Instruct
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: qwen2.5-finetuned
results: []
qwen2.5-finetuned
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2505
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3385 | 0.2036 | 50 | 1.3350 |
| 1.2785 | 0.4072 | 100 | 1.2864 |
| 1.2603 | 0.6108 | 150 | 1.2636 |
| 1.245 | 0.8144 | 200 | 1.2505 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.20.0