Downloads · 30 days
3
43% of all-time downloads
shawgpt-ft
SebastianG-J/shawgpt-ft
shawgpt-ft is a machine learning model from SebastianG-J. 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. --
All-time downloads
7
Public
Repo size
16.8 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors16.8 MB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 17, 2024
- Updated
- Oct 24, 2024
- SHA
- 5a36121c
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: 1.3292
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: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.279 | 0.8571 | 2 | 1.9568 |
| 2.0827 | 1.7143 | 4 | 1.7515 |
| 1.1669 | 3.0 | 7 | 1.5483 |
| 1.5868 | 3.8571 | 9 | 1.4687 |
| 1.587 | 4.7143 | 11 | 1.4263 |
| 0.948 | 6.0 | 14 | 1.3811 |
| 1.3703 | 6.8571 | 16 | 1.3654 |
| 1.4095 | 7.7143 | 18 | 1.3524 |
| 0.9208 | 9.0 | 21 | 1.3367 |
| 1.3025 | 9.8571 | 23 | 1.3315 |
| 1.3563 | 10.7143 | 25 | 1.3298 |
| 0.8394 | 12.0 | 28 | 1.3292 |
| 1.3065 | 12.8571 | 30 | 1.3307 |
| 1.2415 | 13.7143 | 32 | 1.3309 |
| 0.85 | 15.0 | 35 | 1.3344 |
| 1.2656 | 15.8571 | 37 | 1.3335 |
| 1.2467 | 16.7143 | 39 | 1.3326 |
| 0.8036 | 18.0 | 42 | 1.3319 |
| 1.2126 | 18.8571 | 44 | 1.3326 |
| 1.1744 | 19.7143 | 46 | 1.3328 |
| 0.8366 | 21.0 | 49 | 1.3333 |
| 1.0147 | 21.4286 | 50 | 1.3333 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 17, 2024
- Updated
- Oct 24, 2024