Adapter-Phi-3-medium-128k-instruct-lora-hrdx-gptq

This model is a fine-tuned version of microsoft/Phi-3-medium-128k-instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3389

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• 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
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.4023	30	2.3964
No log	2.8046	60	2.1247
No log	4.2299	90	1.8968
2.2305	5.6322	120	1.7274
2.2305	7.0575	150	1.5368
2.2305	8.4598	180	1.3934
1.5516	9.8621	210	1.3389

Framework versions

• PEFT 0.13.2
• Transformers 4.46.2
• Pytorch 2.4.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3