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Meta-Llama-3-8B-Generator-logging
NanQiangHF/Meta-Llama-3-8B-Generator-logging
Meta-Llama-3-8B-Generator-logging is a machine learning model from NanQiangHF. 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.
should probably proofread and complete it, then remove this comment. --
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.json9.1 MB · 57%
At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- Jul 27, 2024
- Updated
- Aug 2, 2024
- SHA
- 3336e4ce
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-3-8B-Generator-logging
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2138
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.456 | 0.3287 | 20 | 0.7801 |
| 0.662 | 0.6574 | 40 | 0.5845 |
| 0.5359 | 0.9861 | 60 | 0.4810 |
| 0.3957 | 1.3148 | 80 | 0.2857 |
| 0.272 | 1.6436 | 100 | 0.2681 |
| 0.2566 | 1.9723 | 120 | 0.2467 |
| 0.2427 | 2.3010 | 140 | 0.2387 |
| 0.2371 | 2.6297 | 160 | 0.2361 |
| 0.2337 | 2.9584 | 180 | 0.2312 |
| 0.2302 | 3.2871 | 200 | 0.2289 |
| 0.228 | 3.6158 | 220 | 0.2270 |
| 0.2268 | 3.9445 | 240 | 0.2252 |
| 0.2239 | 4.2732 | 260 | 0.2232 |
| 0.2223 | 4.6020 | 280 | 0.2232 |
| 0.2215 | 4.9307 | 300 | 0.2215 |
| 0.2194 | 5.2594 | 320 | 0.2193 |
| 0.219 | 5.5881 | 340 | 0.2200 |
| 0.2186 | 5.9168 | 360 | 0.2182 |
| 0.2165 | 6.2455 | 380 | 0.2177 |
| 0.2164 | 6.5742 | 400 | 0.2172 |
| 0.216 | 6.9029 | 420 | 0.2168 |
| 0.215 | 7.2316 | 440 | 0.2162 |
| 0.2143 | 7.5603 | 460 | 0.2160 |
| 0.2136 | 7.8891 | 480 | 0.2150 |
| 0.213 | 8.2178 | 500 | 0.2148 |
| 0.2127 | 8.5465 | 520 | 0.2145 |
| 0.2124 | 8.8752 | 540 | 0.2141 |
| 0.2113 | 9.2039 | 560 | 0.2139 |
| 0.2113 | 9.5326 | 580 | 0.2138 |
| 0.2115 | 9.8613 | 600 | 0.2138 |
Framework versions
- PEFT 0.10.0
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- Jul 27, 2024
- Updated
- Aug 2, 2024