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bert-reward-regression-model – AI Model by catf | AlphaNeural AI
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catf
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bert-reward-regression-model
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-reward-regression-model
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2779
Mse: 0.2779
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: 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
Mse
0.2134
1.0
5
0.3158
0.3158
0.2399
2.0
10
0.3077
0.3077
0.2535
3.0
15
0.2779
0.2779
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 2.21.0
Tokenizers 0.20.3
