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README.md
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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
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