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distilbert-base-uncased-finetuned-switchboard-2 – AI Model by goldenk | AlphaNeural AI
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distilbert-base-uncased-finetuned-switchboard-2
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-switchboard-2
This model is a fine-tuned version of
distilbert-base-uncased
on Switchboard dataset. It achieves the following results on the validation set:
Loss: 0.7090
Accuracy: 0.7215
Precision: 0.7176
Recall: 0.7215
F1: 0.7188
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
Precision
Recall
F1
0.2139
1.0
370
0.8510
0.6875
0.6831
0.6875
0.6846
0.3195
2.0
740
0.7090
0.7215
0.7176
0.7215
0.7188
Framework versions
Transformers 4.13.0
Pytorch 1.13.0+cu116
Datasets 1.16.1
Tokenizers 0.10.3
