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nlp_te_class_matbert – AI Model by AmedeoBonatti | AlphaNeural AI
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AmedeoBonatti
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nlp_te_class_matbert
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safetensors
bert
generated_from_trainer
AmedeoBonatti/nlp_te_mlm_matbert
finetune
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nlp_te_class_matbert
This model is a fine-tuned version of
AmedeoBonatti/nlp_te_mlm_matbert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3241
Accuracy: 0.8884
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
57
0.3241
0.8884
No log
2.0
114
0.4395
0.8482
No log
3.0
171
0.5881
0.8616
No log
4.0
228
0.6160
0.8795
No log
5.0
285
0.7390
0.8795
No log
6.0
342
0.7918
0.8795
Framework versions
Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1