metadata
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-3B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: qwen2.5-3b-instruct
results: []
qwen2.5-3b-instruct
This model is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct on the codealpaca_train_20k_no_trace_generation dataset. It achieves the following results on the evaluation set:
- Loss: 0.4735
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 128
- total_train_batch_size: 256
- total_eval_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4377 | 0.7111 | 50 | 0.4685 |
| 0.4175 | 1.4124 | 100 | 0.4669 |
| 0.3545 | 2.1138 | 150 | 0.4679 |
| 0.3659 | 2.8249 | 200 | 0.4734 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2