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Sorour/
cls_headline_phi3_v1

Name: cls_headline_phi3_v1
Availability: InStock

generated_from_trainer

generator

microsoft/Phi-3-mini-4k-instruct

adapter

mit

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cls_headline_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: 0.2738

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
0.3433	0.2395	20	0.3262
0.3028	0.4790	40	0.3021
0.2909	0.7186	60	0.2903
0.2877	0.9581	80	0.2854
0.2566	1.1976	100	0.2814
0.2565	1.4371	120	0.2780
0.2524	1.6766	140	0.2774
0.2617	1.9162	160	0.2738

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Sorour/cls_headline_phi3_v1

cls_headline_phi3_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sorour/
cls_headline_phi3_v1