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phi-2-finetuned-abhishek – AI Model by abhi5hekjangid | AlphaNeural AI
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phi-2-finetuned-abhishek
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peft
tensorboard
safetensors
phi
trl
sft
generated_from_trainer
custom_code
microsoft/phi-2
adapter
mit
us
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phi-2-finetuned-abhishek
This model is a fine-tuned version of
microsoft/phi-2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3078
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.3
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3009
1.0
779
1.3078
Framework versions
PEFT 0.8.0
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
