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shawgpt-ft
arya123321/shawgpt-ft
shawgpt-ft is a machine learning model from arya123321. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 21, 2024
- Updated
- Apr 21, 2024
- SHA
- 4f8fec2b
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. -->
shawgpt-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9078
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2408 | 1.0 | 5 | 2.0094 |
| 1.7367 | 2.0 | 10 | 1.5467 |
| 1.415 | 3.0 | 15 | 1.3294 |
| 1.2523 | 4.0 | 20 | 1.1980 |
| 1.1482 | 5.0 | 25 | 1.1108 |
| 1.0728 | 6.0 | 30 | 1.0242 |
| 1.0026 | 7.0 | 35 | 0.9645 |
| 0.9591 | 8.0 | 40 | 0.9325 |
| 0.9299 | 9.0 | 45 | 0.9142 |
| 0.9222 | 10.0 | 50 | 0.9078 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Apr 21, 2024
- Updated
- Apr 21, 2024