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llama3-QA-ViMMRC-Squad
Angelectronic/llama3-QA-ViMMRC-Squad
llama3-QA-ViMMRC-Squad is a machine learning model from Angelectronic. 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 transformers. The card lists the license as apache-2.0.
- Developed by: Angelectronic - License: apache-2.0 - Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
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Public
Updated May 27, 2024
Repo size
336 MB
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 27, 2024
- Updated
- May 27, 2024
- SHA
- cd8f1577
Base models
Model card
From the Hugging Face model README
Uploaded model
- Developed by: Angelectronic
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Evaluation
- ViMMRC test set: 0.8385 accuracy
Training results
| Training Loss | Accuracy | Step | Validation Loss |
|---|---|---|---|
| 1.836600 | 0.822141 | 240 | 2.302049 |
| 1.648300 | 0.827586 | 480 | 2.330861 |
| 1.511700 | 0.833031 | 720 | 2.388702 |
| 1.376200 | 0.833031 | 960 | 2.528673 |
| 1.240900 | 0.833031 | 1200 | 2.592396 |
| 1.069600 | 0.831216 | 1440 | 2.697354 |
| 0.860700 | 0.827586 | 1680 | 2.827819 |
| 0.767000 | 0.838475 | 1920 | 2.826283 |
| 0.677900 | 0.822142 | 2160 | 2.965557 |
| 0.594500 | 0.822142 | 2400 | 2.979151 |
| 0.514500 | 0.820327 | 2640 | 3.109596 |
| 0.406800 | 0.818512 | 2880 | 3.196722 |
| 0.320700 | 0.818512 | 3120 | 3.232843 |
| 0.296100 | 0.822142 | 3360 | 3.294877 |
| 0.273400 | 0.818512 | 3600 | 3.346133 |
| 0.262800 | 0.816697 | 3840 | 3.344488 |
| 0.255100 | 0.818511 | 4080 | 3.349281 |
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- eval_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- May 27, 2024
- Updated
- May 27, 2024