medusa-microllama_305m_stage1

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medusa-microllama_305M_stage1_v2

This model is a fine-tuned version of keeeeenw/MicroLlama on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5107

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: 0.0005
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 40
• num_epochs: 2

Training results

Framework versions

• Transformers 4.43.0
• Pytorch 2.3.1
• Datasets 2.15.0
• Tokenizers 0.19.1