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shawgpt-ft-epoch12
FrederikKlinkby/shawgpt-ft-epoch12
shawgpt-ft-epoch12 is a machine learning model from FrederikKlinkby. 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 22, 2024
- Updated
- Oct 22, 2024
- SHA
- 54eb6ce3
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-epoch12
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: 1.9507
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: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6206 | 0.9231 | 3 | 4.0975 |
| 4.2878 | 1.8462 | 6 | 3.7430 |
| 3.8609 | 2.7692 | 9 | 3.3915 |
| 2.5958 | 4.0 | 13 | 2.9737 |
| 3.1368 | 4.9231 | 16 | 2.7305 |
| 2.8454 | 5.8462 | 19 | 2.5364 |
| 2.6173 | 6.7692 | 22 | 2.3645 |
| 1.815 | 8.0 | 26 | 2.1832 |
| 2.2646 | 8.9231 | 29 | 2.0781 |
| 2.1243 | 9.8462 | 32 | 1.9959 |
| 2.0695 | 10.7692 | 35 | 1.9551 |
| 0.4218 | 11.0769 | 36 | 1.9507 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024