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bert-base-uncased-go_emotions – AI Model by arsalanu | AlphaNeural AI
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arsalanu
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bert-base-uncased-go_emotions
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transformers
pytorch
optimum_graphcore
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-go_emotions
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: 0.1046
Roc Auc: 0.8263
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: 0.0002
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 39
total_train_batch_size: 2496
total_eval_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
training precision: Mixed Precision
Training results
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cpu
Datasets 2.10.1
Tokenizers 0.12.1
