library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | Qwen/Qwen2.5-Coder-3B-Instruct |
|
|
armv8_to_riscv_qwen25coder_3p0b_full
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-3B-Instruct on the armv8_to_riscv_000, the armv8_to_riscv_001, the armv8_to_riscv_002, the armv8_to_riscv_003, the armv8_to_riscv_004, the armv8_to_riscv_005 and the armv8_to_riscv_006 datasets.
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 0.5
Training results
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3