cls_sentiment_phi3_v1

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.7122

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: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9066	0.2083	50	0.9011
0.854	0.4167	100	0.8419
0.787	0.625	150	0.8062
0.7476	0.8333	200	0.7764
0.7141	1.0417	250	0.7636
0.6989	1.25	300	0.7528
0.6482	1.4583	350	0.7397
0.6537	1.6667	400	0.7207
0.6526	1.875	450	0.7122

Framework versions

• PEFT 0.11.1
• Transformers 4.41.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1