Downloads · 30 days
5
8% of all-time downloads
shawgpt-ft
H99/shawgpt-ft
shawgpt-ft is a machine learning model from H99. 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 llama2.
should probably proofread and complete it, then remove this comment. --
All-time downloads
59
Public
Repo size
26.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors13.1 MB · 100%
At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024
- SHA
- 05927157
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/Llama-2-13B-chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0205
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: 7
- eval_batch_size: 7
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 28
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8838 | 0.9942 | 43 | 1.3650 |
| 1.1657 | 1.9884 | 86 | 1.0205 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- peft
- License
- llama2
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024