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AdnanRiaz107/
CodePhi-3-mini-4k-instruct-appsloraN1k

Name: CodePhi-3-mini-4k-instruct-appsloraN1k
Availability: InStock

peft

safetensors

generated_from_trainer

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

adapter

mit

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CodePhi-3-mini-4k-instruct-appsloraN1k

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

Loss: 0.6440

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-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5745	0.1	100	0.6791
0.6382	0.2	200	0.6637
0.6357	0.3	300	0.6558
0.5793	0.4	400	0.6507
0.607	0.5	500	0.6472
0.592	0.6	600	0.6451
0.5959	0.7	700	0.6442
0.5586	0.8	800	0.6440
0.571	0.9	900	0.6439
0.5259	1.0	1000	0.6440

Framework versions

PEFT 0.11.0
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

AdnanRiaz107/CodePhi-3-mini-4k-instruct-appsloraN1k

CodePhi-3-mini-4k-instruct-appsloraN1k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AdnanRiaz107/
CodePhi-3-mini-4k-instruct-appsloraN1k