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olusegunola/
phi3-pruned-distilled-from-logits

Name: phi3-pruned-distilled-from-logits
Availability: InStock

olusegunola/phi3-pruned-layer-struct

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phi3-pruned-distilled-from-logits

This model is a fine-tuned version of olusegunola/phi3-pruned-layer-struct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.8577
Ce Loss: 4.5851
Kl Loss: 2.7323

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: 8
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Loss
No log	1.0	1	6.1411	5.0409
6.9157	2.0	2	5.4217	4.4124
6.9157	3.0	3	4.9391	3.8659
5.7615	4.0	4	4.5635	3.2774
5.7615	5.0	5	4.2911	3.0771
5.0521	6.0	6	4.1273	3.0683
5.0521	7.0	7	4.0164	3.0022
4.6795	8.0	8	3.9332	2.8822
4.6795	9.0	9	3.8823	2.7965
4.5024	10.0	10	3.8577	2.7323

Framework versions

PEFT 0.17.1
Transformers 4.56.1
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.22.0

olusegunola/phi3-pruned-distilled-from-logits

phi3-pruned-distilled-from-logits

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

olusegunola/
phi3-pruned-distilled-from-logits