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shawgpt-ft-lr0.0002-wd0.1
FrederikKlinkby/shawgpt-ft-lr0.0002-wd0.1
shawgpt-ft-lr0.0002-wd0.1 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
- 82dfeb42
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-lr0.0002-wd0.1
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: 1.7843
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 |
|---|---|---|---|
| 4.6121 | 0.9231 | 3 | 4.0587 |
| 4.2127 | 1.8462 | 6 | 3.6493 |
| 3.7298 | 2.7692 | 9 | 3.2524 |
| 2.4733 | 4.0 | 13 | 2.8160 |
| 2.96 | 4.9231 | 16 | 2.5693 |
| 2.6554 | 5.8462 | 19 | 2.3615 |
| 2.399 | 6.7692 | 22 | 2.1823 |
| 1.6628 | 8.0 | 26 | 1.9990 |
| 2.0407 | 8.9231 | 29 | 1.8807 |
| 1.9004 | 9.8462 | 32 | 1.8157 |
| 1.8691 | 10.7692 | 35 | 1.7876 |
| 0.3706 | 11.0769 | 36 | 1.7843 |
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