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logs – AI Model by akshatshaw | AlphaNeural AI
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
microsoft/Phi-3-mini-128k-instruct
adapter
mit
us
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This model is a fine-tuned version of
microsoft/Phi-3-mini-128k-instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2743
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: 0.03
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.0529
0.9956
112
1.1079
0.8563
2.0
225
1.0902
0.684
2.9956
337
1.1762
0.5762
3.9822
448
1.2743
Framework versions
PEFT 0.11.1
Transformers 4.40.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
