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Payoto/bert-base-uncased-go_emotions · Pirate Face

Payoto/bert-base-uncased-go_emotions

Source: 🤗text-classificationapache-2.0219 MBother✓ 2 checksumsupdated 1,309d ago

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: 0.1023
Roc Auc: 0.8406

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 1.13.1+cpu
Datasets 2.11.0
Tokenizers 0.12.1

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Weight files: 2
Model size: 219 MB
Downloads · last month: 16
Publisher: Unclaimed

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