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NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal – AI Model by m4faisal | AlphaNeural AI
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m4faisal
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NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal
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peft
tensorboard
safetensors
generated_from_trainer
albert/albert-base-v2
adapter
apache-2.0
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NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0940
Accuracy: 0.3747
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
32
1.1176
0.3442
No log
2.0
64
1.0955
0.3615
No log
3.0
96
1.0940
0.3747
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
