1.4 KiB
1.4 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | Qwen/Qwen3-8B |
|
|
Terminal-data_processing
This model is a fine-tuned version of Qwen/Qwen3-8B on the nemotron_easy_data_processing, the nemotron_medium_data_processing and the nemotron_mixed_data_processing 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2.0
Training results
Framework versions
- Transformers 5.6.0
- Pytorch 2.12.1+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2