SachitKuhar/finetune_starcoder2_torch_1_2
05
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finetunestarcoder2torch12
This model is a fine-tuned version of bigcode/starcoder2-3b on the None 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: 2e-05
- trainbatchsize: 1
- evalbatchsize: 8
- seed: 0
- distributed_type: multi-GPU
- num_devices: 4
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 32
- totalevalbatch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 20
- training_steps: 10000
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1