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roberta-base-sst2-finetuned-emotion – AI Model by rdp99 | AlphaNeural AI
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roberta-base-sst2-finetuned-emotion
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-sst2-finetuned-emotion
This model is a fine-tuned version of
WillHeld/roberta-base-sst2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2058
Accuracy: 0.9381
F1: 0.9381
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1387
1.0
109
0.1822
0.9415
0.9415
0.0826
2.0
218
0.2058
0.9381
0.9381
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
