1.4 KiB
1.4 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | model_weights/qwen3-4b-base |
|
|
qwen3-4b-base-sft-qwen3-8b
This model is a fine-tuned version of model_weights/qwen3-4b-base on the openthoughts3_300k_qwen3-8b 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: 8e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- 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: 0.1
- training_steps: 3000
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.12.0+cu130
- Datasets 3.6.0
- Tokenizers 0.21.1