qwen2.5-0.5b-v1
This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on the /network-volume/data/SFT_glaive_toolcall_en/greennode_glaive_toolcall_en.json dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: nan
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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.45.0
- Pytorch 2.4.0a0+3bcc3cddb5.nv24.07
- Datasets 2.21.0
- Tokenizers 0.20.0
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Base model
Qwen/Qwen2.5-0.5B