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Phi-3.5-MultiCap-mt-new – AI Model by sofyc | AlphaNeural AI
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sofyc
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Phi-3.5-MultiCap-mt-new
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peft
safetensors
trl
sft
generated_from_trainer
microsoft/Phi-3.5-mini-instruct
adapter
mit
us
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Phi-3.5-MultiCap-mt-new
This model is a fine-tuned version of
microsoft/Phi-3.5-mini-instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6661
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.8401
0.5109
50
0.8176
0.6779
1.0217
100
0.7203
0.6889
1.5326
150
0.6930
0.6861
2.0434
200
0.6800
0.6797
2.5543
250
0.6723
0.6801
3.0651
300
0.6683
0.6439
3.5760
350
0.6661
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu124
Datasets 3.0.0
Tokenizers 0.19.1
