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finetuned_sentence_itr0_2e-05_webDiscourse_27_02_2022-19_22_29 – AI Model by ali2066 | AlphaNeural AI
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finetuned_sentence_itr0_2e-05_webDiscourse_27_02_2022-19_22_29
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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_itr0_2e-05_webDiscourse_27_02_2022-19_22_29
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: 0.5819
Accuracy: 0.7058
F1: 0.4267
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
0.6110
0.665
0.0
No log
2.0
96
0.5706
0.685
0.2588
No log
3.0
144
0.5484
0.725
0.5299
No log
4.0
192
0.5585
0.71
0.4727
No log
5.0
240
0.5616
0.725
0.5133
Framework versions
Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3
