netmatze/sql-tinycodellama-1.3b-v1
05
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sql-tinycodellama-1.3b-v1
This model is a fine-tuned version of obrmmk/tinycodellama-jp-1.3b-1k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3754
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: 0.0003
- trainbatchsize: 32
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 50
- training_steps: 50
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
