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llama381binstruct_summarize_short
Galatea007/llama381binstruct_summarize_short
llama381binstruct_summarize_short is a machine learning model from Galatea007. 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
- 1523cc2e
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: 2.7961
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 |
|---|---|---|---|
| 1.5831 | 1.25 | 25 | 1.6479 |
| 0.8086 | 2.5 | 50 | 1.6711 |
| 0.3333 | 3.75 | 75 | 1.8202 |
| 0.1834 | 5.0 | 100 | 1.9703 |
| 0.083 | 6.25 | 125 | 2.2035 |
| 0.0381 | 7.5 | 150 | 2.3948 |
| 0.0212 | 8.75 | 175 | 2.4440 |
| 0.0197 | 10.0 | 200 | 2.4377 |
| 0.0188 | 11.25 | 225 | 2.3988 |
| 0.0094 | 12.5 | 250 | 2.5389 |
| 0.0062 | 13.75 | 275 | 2.5661 |
| 0.0048 | 15.0 | 300 | 2.6391 |
| 0.0036 | 16.25 | 325 | 2.6828 |
| 0.0021 | 17.5 | 350 | 2.7307 |
| 0.0017 | 18.75 | 375 | 2.7560 |
| 0.0023 | 20.0 | 400 | 2.7722 |
| 0.0024 | 21.25 | 425 | 2.7839 |
| 0.002 | 22.5 | 450 | 2.7908 |
| 0.0021 | 23.75 | 475 | 2.7946 |
| 0.0018 | 25.0 | 500 | 2.7961 |
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