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shawgpt-ft
alexpensotti/shawgpt-ft
shawgpt-ft is a machine learning model from alexpensotti. 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
- May 7, 2024
- Updated
- May 7, 2024
- SHA
- 77a2ba58
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: 1.1372
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 |
|---|---|---|---|
| 1.2068 | 0.9967 | 230 | 1.1041 |
| 1.0923 | 1.9978 | 461 | 1.0899 |
| 1.0533 | 2.9989 | 692 | 1.0817 |
| 1.0236 | 4.0 | 923 | 1.0835 |
| 1.0031 | 4.9967 | 1153 | 1.0932 |
| 0.9769 | 5.9978 | 1384 | 1.0960 |
| 0.9574 | 6.9989 | 1615 | 1.1118 |
| 0.9401 | 8.0 | 1846 | 1.1198 |
| 0.9295 | 8.9967 | 2076 | 1.1279 |
| 0.9124 | 9.9675 | 2300 | 1.1372 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 7, 2024
- Updated
- May 7, 2024