This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6034

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: 1400

Training results

Training Loss	Epoch	Step	Validation Loss
0.5991	0.1429	200	0.6309
0.579	0.2857	400	0.6142
0.5665	0.4286	600	0.6070
0.545	0.5714	800	0.6044
0.5199	0.7143	1000	0.6035
0.5763	0.8571	1200	0.6035
0.5594	1.0	1400	0.6034

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

RichardErkhov/AdnanRiaz107_-_CodePhi-3-mini-128k-instruct-APPS1.4k-4bits

Original model description:

CodePhi-3-mini-128k-instruct-APPS1.4k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
AdnanRiaz107_-_CodePhi-3-mini-128k-instruct-APPS1.4k-4bits