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llm-science-exam-zephyr-7b-kaggle
Sandiago21/llm-science-exam-zephyr-7b-kaggle
llm-science-exam-zephyr-7b-kaggle is a machine learning model from Sandiago21. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Updated Oct 18, 2023
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 18, 2023
- Updated
- Oct 18, 2023
- SHA
- 55779cc3
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. -->
zephyr-7b-llm-science-exam
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-alpha on the llm-science-exam dataset. It achieves the following results on the evaluation set:
- Loss: 1.3920
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8861 | 0.24 | 100 | 1.6360 |
| 1.6563 | 0.48 | 200 | 1.4566 |
| 1.5457 | 0.71 | 300 | 1.3980 |
| 1.4945 | 0.95 | 400 | 1.3920 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.0
- License
- mit
- Languages
- multilingual
- Created
- Oct 18, 2023
- Updated
- Oct 18, 2023