library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | Qwen/Qwen3-1.7B |
|
|
lf_final_v8
This model is a fine-tuned version of /mnt/dolphinfs/hdd_pool/docker/user/hadoop-ht-oedatamining/wujintao09-2/LLM-Rec-Train/output/platform_best on the llmrec_final_v8 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: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 2026
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- 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: 0.05
- training_steps: 150
Training results
Framework versions
- Transformers 4.52.4
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.21.4