library_name, base_model, tags, model-index
| library_name | base_model | tags | model-index | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| transformers | Qwen/Qwen2.5-Instruct-1.5B |
|
|
armv8-o2-full-qwen-epoch1-AMD
This model is a fine-tuned version of saves/armv8-o2-full-qwen-epoch1-AMD/checkpoint-1200 on the None dataset.
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.55.0
- Pytorch 2.8.0+rocm6.3
- Datasets 3.6.0
- Tokenizers 0.21.1