phi2_fine_tune_istanbul_rugs – AI Model by aguglaniAI | AlphaNeural AI

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aguglaniAI/
phi2_fine_tune_istanbul_rugs

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microsoft/phi-2

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phi2_fine_tune_istanbul_rugs

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

Loss: 0.8105

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: 0.0008
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss
0.6408	0.72	10	0.5720
0.4116	1.45	20	0.5234
0.3467	2.17	30	0.5068
0.328	2.9	40	0.4990
0.3013	3.62	50	0.5022
0.267	4.34	60	0.5051
0.2407	5.07	70	0.5151
0.2084	5.79	80	0.5329
0.1821	6.52	90	0.5566
0.1635	7.24	100	0.5996
0.1431	7.96	110	0.6137
0.1164	8.69	120	0.6461
0.1045	9.41	130	0.6714
0.0903	10.14	140	0.6719
0.0773	10.86	150	0.6802
0.0653	11.58	160	0.7234
0.0595	12.31	170	0.7497
0.0523	13.03	180	0.7281
0.0453	13.76	190	0.7439
0.0405	14.48	200	0.7655
0.0363	15.2	210	0.7674
0.0323	15.93	220	0.7835
0.0293	16.65	230	0.7924
0.0276	17.38	240	0.7981
0.0257	18.1	250	0.8023
0.0252	18.82	260	0.8019
0.0236	19.55	270	0.8040
0.023	20.27	280	0.8089
0.0232	21.0	290	0.8104
0.0231	21.72	300	0.8105

Framework versions

PEFT 0.9.0
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2