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llama381binstruct_summarize_short
XicoC/llama381binstruct_summarize_short
llama381binstruct_summarize_short is a machine learning model from XicoC. 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 13, 2024
- Updated
- Sep 13, 2024
- SHA
- 8a708acc
Base models
Datasets
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. -->
llama381binstruct_summarize_short
This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.6824
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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8128 | 1.3158 | 25 | 1.5527 |
| 0.8098 | 2.6316 | 50 | 1.6115 |
| 0.3997 | 3.9474 | 75 | 1.7703 |
| 0.1397 | 5.2632 | 100 | 2.1432 |
| 0.0698 | 6.5789 | 125 | 2.2678 |
| 0.0404 | 7.8947 | 150 | 2.2523 |
| 0.0374 | 9.2105 | 175 | 2.1689 |
| 0.0106 | 10.5263 | 200 | 2.4594 |
| 0.0095 | 11.8421 | 225 | 2.4115 |
| 0.0086 | 13.1579 | 250 | 2.4416 |
| 0.0065 | 14.4737 | 275 | 2.4596 |
| 0.006 | 15.7895 | 300 | 2.5076 |
| 0.0034 | 17.1053 | 325 | 2.5684 |
| 0.0022 | 18.4211 | 350 | 2.6151 |
| 0.0022 | 19.7368 | 375 | 2.6410 |
| 0.0026 | 21.0526 | 400 | 2.6586 |
| 0.0018 | 22.3684 | 425 | 2.6678 |
| 0.0022 | 23.6842 | 450 | 2.6756 |
| 0.0021 | 25.0 | 475 | 2.6810 |
| 0.0016 | 26.3158 | 500 | 2.6824 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3.1
- Created
- Sep 13, 2024
- Updated
- Sep 13, 2024