komodo-7b-chat
This model is a fine-tuned version of Yellow-AI-NLP/komodo-7b-base on the jan-hq/indonesian_sft_binarized 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
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3204 | 0.99 | 67 | 1.3371 |
| 1.3083 | 1.99 | 134 | 1.2950 |
| 1.2921 | 2.98 | 201 | 1.2932 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
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Model tree for jan-hq/komodo-7b-chat-adapter
Base model
Yellow-AI-NLP/komodo-7b-base