Quan
Collection
Qwen with Vietnamese continue pretrained and SFT
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4 items
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Updated
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
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Model tree for qnguyen3/quan-1.8b-base
Base model
KnutJaegersberg/Qwen-1_8B-Llamafied