fine_tuned_phi1_5 – AI Model by osei1819 | AlphaNeural AI

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osei1819/
fine_tuned_phi1_5

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text-generation

generated_from_trainer

microsoft/phi-1_5

autotrain_compatible

text-generation-inference

endpoints_compatible

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fine_tuned_phi1_5

This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3498

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
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_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.9275	4	5.3873
No log	1.9275	8	5.1770
6.4196	2.9275	12	4.5702
6.4196	3.9275	16	3.1211
4.6448	4.9275	20	2.0151
4.6448	5.9275	24	0.5937
4.6448	6.9275	28	0.4527
0.9737	7.9275	32	0.4155
0.9737	8.9275	36	0.3759
0.4308	9.9275	40	0.3498

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0