Syed-Hasan-8503/Llama-3.1-8b-BAdam
017
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sft
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the belle_math dataset. It achieves the following results on the evaluation set:
- Loss: 0.9967
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: 0.0001
- trainbatchsize: 1
- evalbatchsize: 1
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- training_steps: 500
Training results
Framework versions
- Transformers 4.43.3
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1