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FPT_FineTune_v1.0-adapters-v2 – AI Model by AmeerH | AlphaNeural AI
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AmeerH
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FPT_FineTune_v1.0-adapters-v2
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peft
safetensors
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AmeerH/FPT-Base
adapter
mit
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FPT_FineTune_v1.0-adapters-v2
This model is a fine-tuned version of
AmeerH/FPT-Base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9203
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-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
0.9156
0.5030
500
0.9203
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
