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WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT
Weni/WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT
WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT 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
- Jan 26, 2024
- Updated
- Jan 27, 2024
- SHA
- 81118810
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-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT
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: 0.4088
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 337
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5761 | 0.83 | 50 | 0.4671 |
| 0.4488 | 1.66 | 100 | 0.4409 |
| 0.4272 | 2.49 | 150 | 0.4293 |
| 0.4145 | 3.32 | 200 | 0.4219 |
| 0.3999 | 4.15 | 250 | 0.4155 |
| 0.3872 | 4.98 | 300 | 0.4088 |
Framework versions
- PEFT 0.7.1
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- Type
- mistral
- License
- mit
- Created
- Jan 26, 2024
- Updated
- Jan 27, 2024