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Classification_HF_NLP_Ch4_Review_to_Condition – AI Model by mses-bly | AlphaNeural AI
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mses-bly
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Classification_HF_NLP_Ch4_Review_to_Condition
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
mses-bly/Classification_HF_NLP_Ch4_Review_to_Condition
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Classification_HF_NLP_Ch4_Review_to_Condition
This model is a fine-tuned version of
mses-bly/Classification_HF_NLP_Ch4_Review_to_Condition
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3295
Accuracy: 0.7082
F1: 0.6847
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.96
1.0
20687
1.3295
0.7082
0.6847
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
