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komodo-7b-chat-adapter
jan-hq/komodo-7b-chat-adapter
komodo-7b-chat-adapter is a machine learning model from jan-hq. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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Repo size
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At a glance
- Library
- peft
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Mar 18, 2024
- Updated
- Mar 18, 2024
- SHA
- 832f1d76
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- peft
- Type
- llama
- License
- llama2
- Created
- Mar 18, 2024
- Updated
- Mar 18, 2024