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meow-3.0bpw-h6-exl2
LoneStriker/meow-3.0bpw-h6-exl2
meow-3.0bpw-h6-exl2 is a machine learning model from LoneStriker. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Dec 20, 2023
Repo size
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At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Model type
- llama
- Access
- Public
- Created
- Dec 20, 2023
- Updated
- Dec 20, 2023
- SHA
- 1c36eb72
Base models
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. -->
meow
This model is a fine-tuned version of upstage/SOLAR-10.7B-Instruct-v1.0 on HuggingFaceH4/no_robots dataset. It achieves the following results on the evaluation set:
- Loss: 2.3831
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3864 | 0.11 | 2 | 2.3831 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
Training procedure
Framework versions
- PEFT 0.6.1
- Library
- peft
- Type
- llama
- License
- cc-by-nc-4.0
- Created
- Dec 20, 2023
- Updated
- Dec 20, 2023