jan-hq/komodo-7b-chat-adapter
09
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komodo-7b-chat
This model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the jan-hq/indonesiansftbinarized dataset. It achieves the following results on the evaluation set:
- Loss: 1.2932
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: 2
- evalbatchsize: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradientaccumulationsteps: 16
- totaltrainbatch_size: 64
- totalevalbatch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 3
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0