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KA_retrained_v1 – AI Model by marklicata | AlphaNeural AI
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marklicata
/
KA_retrained_v1
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
marklicata/KA_demo
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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KA_retrained_v1
This model is a fine-tuned version of
marklicata/KA_demo
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1406
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
119
1.4550
No log
2.0
238
1.3147
No log
3.0
357
1.1406
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cpu
Datasets 3.1.0
Tokenizers 0.20.3
