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WeniGPT-2.0.1-Zephyr-7B-bits_and_bytes-dataset-llm-base-1.0.1
Weni/WeniGPT-2.0.1-Zephyr-7B-bits_and_bytes-dataset-llm-base-1.0.1
WeniGPT-2.0.1-Zephyr-7B-bits_and_bytes-dataset-llm-base-1.0.1 is a machine learning model from Weni. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Model type
- mistral
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Dec 28, 2023
- SHA
- b0804b4e
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. -->
WeniGPT-2.0.1-Zephyr-7B-bits_and_bytes-llm-base
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3610
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4038 | 1.53 | 500 | 0.3728 |
| 0.3482 | 3.07 | 1000 | 0.3628 |
| 0.3266 | 4.6 | 1500 | 0.3610 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- peft
- Type
- mistral
- License
- mit
- Created
- Dec 26, 2023
- Updated
- Dec 28, 2023