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finetuned_sentence_itr3_2e-05_webDiscourse_27_02_2022-18_59_05 – AI Model by ali2066 | AlphaNeural AI
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finetuned_sentence_itr3_2e-05_webDiscourse_27_02_2022-18_59_05
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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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finetuned_sentence_itr3_2e-05_webDiscourse_27_02_2022-18_59_05
This model is a fine-tuned version of
distilbert-base-uncased-finetuned-sst-2-english
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6049
Accuracy: 0.6926
F1: 0.4160
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
48
0.5835
0.71
0.0333
No log
2.0
96
0.5718
0.715
0.3871
No log
3.0
144
0.5731
0.715
0.4
No log
4.0
192
0.6009
0.705
0.3516
No log
5.0
240
0.6122
0.7
0.4000
Framework versions
Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3
