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Amitesh007/
tw-sentiment-finetuned

Name: tw-sentiment-finetuned
Availability: InStock

transformers

distilbert

text-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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tw-sentiment-finetuned

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.2039
Train Accuracy: 0.9171
Validation Loss: 0.4805
Validation Accuracy: 0.8237
Epoch: 2

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.4620	0.7977	0.3893	0.8332	0
0.3238	0.8596	0.4674	0.8362	1
0.2039	0.9171	0.4805	0.8237	2

Framework versions

Transformers 4.26.0
TensorFlow 2.9.2
Tokenizers 0.13.2

Amitesh007/tw-sentiment-finetuned

tw-sentiment-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Amitesh007/
tw-sentiment-finetuned