DCAgent/freelancer-projects-10k-traces
012
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freelancer-projects-10k-traces
This model is a fine-tuned version of Qwen/Qwen3-8B on the DCAgent/freelancer-projects-10k-traces 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: 4e-05
- trainbatchsize: 1
- evalbatchsize: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 64
- totalevalbatch_size: 64
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.55.0
- Pytorch 2.7.1+cu126
- Datasets 4.2.0
- Tokenizers 0.21.1
