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llama3-8B-EIP-8bit-lora
rhdeng/llama3-8B-EIP-8bit-lora
llama3-8B-EIP-8bit-lora is a machine learning model from rhdeng. 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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At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- Jul 3, 2024
- Updated
- Jul 3, 2024
- SHA
- c3390635
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. -->
llama3-8B-EIP-8bit-lora
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: 1.5218
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4743 | 0.0433 | 100 | 1.7806 |
| 1.6838 | 0.0866 | 200 | 1.6540 |
| 1.6055 | 0.1299 | 300 | 1.6010 |
| 1.5809 | 0.1732 | 400 | 1.5646 |
| 1.5472 | 0.2165 | 500 | 1.5350 |
| 1.5206 | 0.2599 | 600 | 1.5218 |
| 1.5358 | 0.3032 | 700 | 1.5218 |
| 1.5102 | 0.3465 | 800 | 1.5218 |
| 1.552 | 0.3898 | 900 | 1.5218 |
| 1.5354 | 0.4331 | 1000 | 1.5218 |
| 1.5269 | 0.4764 | 1100 | 1.5218 |
| 1.5202 | 0.5197 | 1200 | 1.5218 |
| 1.5434 | 0.5630 | 1300 | 1.5218 |
| 1.5325 | 0.6063 | 1400 | 1.5218 |
| 1.5307 | 0.6496 | 1500 | 1.5218 |
| 1.5287 | 0.6929 | 1600 | 1.5218 |
| 1.5277 | 0.7362 | 1700 | 1.5218 |
| 1.5176 | 0.7796 | 1800 | 1.5218 |
| 1.5268 | 0.8229 | 1900 | 1.5218 |
| 1.5306 | 0.8662 | 2000 | 1.5218 |
| 1.5309 | 0.9095 | 2100 | 1.5218 |
| 1.5484 | 0.9528 | 2200 | 1.5218 |
| 1.51 | 0.9961 | 2300 | 1.5218 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.1.0a0+4136153
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- Jul 3, 2024
- Updated
- Jul 3, 2024