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shawgpt-ft-model4
timewanderer/shawgpt-ft-model4
shawgpt-ft-model4 is a machine learning model from timewanderer. 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
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- a535177f
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-model4
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: 2.8009
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: 5
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6424 | 0.9231 | 3 | 4.2062 |
| 4.5277 | 1.8462 | 6 | 4.0429 |
| 4.2535 | 2.7692 | 9 | 3.7825 |
| 2.9545 | 4.0 | 13 | 3.4616 |
| 3.6837 | 4.9231 | 16 | 3.2524 |
| 3.4407 | 5.8462 | 19 | 3.0824 |
| 3.2698 | 6.7692 | 22 | 2.9541 |
| 2.3491 | 8.0 | 26 | 2.8439 |
| 3.0525 | 8.9231 | 29 | 2.8052 |
| 2.0563 | 9.2308 | 30 | 2.8009 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024