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--- |
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tags: |
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- generated_from_trainer |
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- mistral |
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model-index: |
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- name: taiwan-kapok-300M |
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results: [] |
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license: apache-2.0 |
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language: |
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- zh |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# taiwan-kapok-300M |
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- Loss: 2.7894 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0006 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=0.0001 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.6962 | 3.35 | 5000 | 2.7894 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
