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qnguyen3 / quan-1.8b-base
Model's Last Updated: January 20 2024
text-generation
Introduction of quan-1.8b-base
Model Details of quan-1.8b-base
qwen-1.8b-vi-pt
This model is a fine-tuned version of KnutJaegersberg/Qwen-1_8B-Llamafied on the None dataset.
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: 2e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
Runs of qnguyen3 quan-1.8b-base on huggingface.co
2
Total runs
0
24-hour runs
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3-day runs
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7-day runs
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30-day runs
More Information About quan-1.8b-base huggingface.co Model
Url of quan-1.8b-base
quan-1.8b-base huggingface.co Url
Provider of quan-1.8b-base huggingface.co
Other API from qnguyen3
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2.3K
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34.69%
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59.38%
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52.00%
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11
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91.67%
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1
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100.00%
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0.00%
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