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shawgpt-ft
MathiasBrussow/shawgpt-ft
shawgpt-ft is a machine learning model from MathiasBrussow. 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 4, 2024
- Updated
- Oct 24, 2024
- SHA
- 0eefe18b
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: 1.3302
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.9895 | 0.8571 | 3 | 4.1658 |
| 3.4778 | 2.0 | 7 | 3.7207 |
| 4.1399 | 2.8571 | 10 | 3.3552 |
| 2.747 | 4.0 | 14 | 2.9052 |
| 3.2593 | 4.8571 | 17 | 2.6105 |
| 2.1018 | 6.0 | 21 | 2.2608 |
| 2.4159 | 6.8571 | 24 | 2.0093 |
| 1.6044 | 8.0 | 28 | 1.7780 |
| 1.9126 | 8.8571 | 31 | 1.6498 |
| 1.2575 | 10.0 | 35 | 1.5062 |
| 1.6232 | 10.8571 | 38 | 1.4496 |
| 1.1013 | 12.0 | 42 | 1.3928 |
| 1.4709 | 12.8571 | 45 | 1.3688 |
| 1.0337 | 14.0 | 49 | 1.3495 |
| 1.4037 | 14.8571 | 52 | 1.3399 |
| 1.0328 | 16.0 | 56 | 1.3307 |
| 1.3526 | 16.8571 | 59 | 1.3277 |
| 0.9745 | 18.0 | 63 | 1.3259 |
| 1.299 | 18.8571 | 66 | 1.3254 |
| 0.9387 | 20.0 | 70 | 1.3259 |
| 1.3275 | 20.8571 | 73 | 1.3271 |
| 0.9127 | 22.0 | 77 | 1.3290 |
| 1.2574 | 22.8571 | 80 | 1.3300 |
| 0.9474 | 24.0 | 84 | 1.3305 |
| 1.2843 | 24.8571 | 87 | 1.3302 |
| 0.8341 | 25.7143 | 90 | 1.3302 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 4, 2024
- Updated
- Oct 24, 2024