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result – AI Model by Shees7 | AlphaNeural AI | AlphaNeural AI
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transformers
safetensors
bert
text-classification
generated_from_trainer
mental/mental-bert-base-uncased
finetune
cc-by-nc-4.0
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
mental/mental-bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9675
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: 16
eval_batch_size: 16
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.4294
1.0
2321
0.4796
0.2759
2.0
4642
0.4408
0.2259
3.0
6963
0.5610
0.1443
4.0
9284
0.8181
0.0997
5.0
11605
0.9675
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Tokenizers 0.20.3
