Angelectronic
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Update README.md
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README.md
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@@ -23,3 +23,25 @@ This gemma model was trained 2x faster with [Unsloth](https://github.com/unsloth
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# Evaluation
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- **ViMMRC test set:** 0.8475 accuracy
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# Evaluation
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- **ViMMRC test set:** 0.8475 accuracy
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 3407
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 5
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- num_epochs: 3
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.2
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- Pytorch 2.3.0
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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