phi2-finetuned-textbook

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phi2-finetuned-textbook

This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2687
• eval_runtime: 421.8929
• eval_samples_per_second: 4.148
• eval_steps_per_second: 0.519
• epoch: 1.0152
• step: 1000

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: 0.0002
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.17.1
• Transformers 4.56.2
• Pytorch 2.7.1+cu128
• Datasets 4.1.1
• Tokenizers 0.22.1