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sentiment-roberta-e3-b16-v2-w0.01 – AI Model by YanJiangJerry | AlphaNeural AI
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sentiment-roberta-e3-b16-v2-w0.01
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transformers
pytorch
roberta
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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sentiment-roberta-e3-b16-v2-w0.01
This model is a fine-tuned version of
siebert/sentiment-roberta-large-english
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6014
F1: 0.7844
Recall: 0.7844
Precision: 0.7844
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
F1
Recall
Precision
No log
1.0
187
0.6687
0.7574
0.7574
0.7574
No log
2.0
374
0.5700
0.7898
0.7898
0.7898
0.6052
3.0
561
0.6014
0.7844
0.7844
0.7844
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
