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M365_demo_v2 – AI Model by marklicata | AlphaNeural AI
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M365_demo_v2
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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M365_demo_v2
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4042
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
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
0.5736
1.0
520
0.4260
0.3559
2.0
1040
0.4259
0.2862
3.0
1560
0.4042
Framework versions
Transformers 4.44.2
Pytorch 2.3.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1
