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twitter_empathy_Miles – AI Model by rxsong | AlphaNeural AI
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rxsong
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twitter_empathy_Miles
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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twitter_empathy_Miles
This model is a fine-tuned version of
bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1421
Mse: 0.1421
Mae: 0.2240
R2: 0.0840
Accuracy: 0.8190
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
Mae
R2
Accuracy
No log
1.0
125
0.1507
0.1507
0.2374
0.0279
0.8081
No log
2.0
250
0.1554
0.1554
0.2196
-0.0018
0.8129
No log
3.0
375
0.1421
0.1421
0.2240
0.0840
0.8190
Framework versions
Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
