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Llama3.1-8b-instruct-SFT-2024-09-04
ccibeekeoc42/Llama3.1-8b-instruct-SFT-2024-09-04
Llama3.1-8b-instruct-SFT-2024-09-04 is a machine learning model from ccibeekeoc42. 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
- Sep 4, 2024
- Updated
- Sep 5, 2024
- SHA
- feb501d3
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. -->
Llama3.1-8b-instruct-SFT-2024-09-04
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7816
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: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4731 | 0.0586 | 1000 | 1.3818 |
| 1.3159 | 0.1171 | 2000 | 1.2533 |
| 1.2472 | 0.1757 | 3000 | 1.1814 |
| 1.2053 | 0.2342 | 4000 | 1.1296 |
| 1.165 | 0.2928 | 5000 | 1.0964 |
| 1.1603 | 0.3514 | 6000 | 1.0608 |
| 1.1854 | 0.4099 | 7000 | 1.0294 |
| 1.0564 | 0.4685 | 8000 | 1.0074 |
| 0.9583 | 0.5271 | 9000 | 0.9807 |
| 1.0542 | 0.5856 | 10000 | 0.9559 |
| 0.9881 | 0.6442 | 11000 | 0.9371 |
| 0.9607 | 0.7027 | 12000 | 0.9125 |
| 1.0272 | 0.7613 | 13000 | 0.8907 |
| 0.9374 | 0.8199 | 14000 | 0.8739 |
| 0.9506 | 0.8784 | 15000 | 0.8549 |
| 0.8963 | 0.9370 | 16000 | 0.8389 |
| 0.8529 | 0.9955 | 17000 | 0.8225 |
| 0.6032 | 1.0541 | 18000 | 0.8162 |
| 0.5758 | 1.1127 | 19000 | 0.8079 |
| 0.6367 | 1.1712 | 20000 | 0.7976 |
| 0.5814 | 1.2298 | 21000 | 0.7917 |
| 0.5761 | 1.2884 | 22000 | 0.7873 |
| 0.618 | 1.3469 | 23000 | 0.7840 |
| 0.5374 | 1.4055 | 24000 | 0.7826 |
| 0.6227 | 1.4640 | 25000 | 0.7816 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3.1
- Created
- Sep 4, 2024
- Updated
- Sep 5, 2024