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Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests_Lora
mg11/Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests_Lora
Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests_Lora is a machine learning model from mg11. 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 llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Aug 20, 2024
- Updated
- Aug 20, 2024
- SHA
- 4333b255
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. -->
Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests_Lora
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6890
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: 0.0003
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2123 | 0.0630 | 1 | 2.0355 |
| 2.031 | 0.1260 | 2 | 1.8189 |
| 1.8617 | 0.1890 | 3 | 1.2382 |
| 1.2165 | 0.2520 | 4 | 1.2213 |
| 1.2384 | 0.3150 | 5 | 1.3884 |
| 1.2876 | 0.3780 | 6 | 1.3734 |
| 1.3752 | 0.4409 | 7 | 1.0046 |
| 0.9925 | 0.5039 | 8 | 1.1719 |
| 1.1438 | 0.5669 | 9 | 0.9010 |
| 0.9124 | 0.6299 | 10 | 0.8452 |
| 0.8283 | 0.6929 | 11 | 0.7755 |
| 0.762 | 0.7559 | 12 | 0.7758 |
| 0.7601 | 0.8189 | 13 | 0.8326 |
| 0.7841 | 0.8819 | 14 | 0.7731 |
| 0.697 | 0.9449 | 15 | 0.7534 |
| 0.7392 | 1.0079 | 16 | 0.7244 |
| 0.6977 | 1.0709 | 17 | 0.7054 |
| 0.6216 | 1.1339 | 18 | 0.6978 |
| 0.9607 | 1.1969 | 19 | 0.7370 |
| 0.693 | 1.2598 | 20 | 0.8337 |
| 0.8311 | 1.3228 | 21 | 0.9197 |
| 0.8475 | 1.3858 | 22 | 0.8201 |
| 0.7663 | 1.4488 | 23 | 0.7467 |
| 0.6859 | 1.5118 | 24 | 0.7316 |
| 0.6419 | 1.5748 | 25 | 0.7193 |
| 0.6363 | 1.6378 | 26 | 0.7011 |
| 0.6569 | 1.7008 | 27 | 0.7019 |
| 0.6467 | 1.7638 | 28 | 0.6921 |
| 0.6779 | 1.8268 | 29 | 0.6918 |
| 0.6638 | 1.8898 | 30 | 0.6890 |
Framework versions
- PEFT 0.5.0
- Transformers 4.44.0
- Pytorch 2.1.0+cu118
- Datasets 2.16.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3.1
- Created
- Aug 20, 2024
- Updated
- Aug 20, 2024