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finetuned_sentence_itr0_3e-05_webDiscourse_27_02_2022-19_27_41 – AI Model by ali2066 | AlphaNeural AI
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finetuned_sentence_itr0_3e-05_webDiscourse_27_02_2022-19_27_41
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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_3e-05_webDiscourse_27_02_2022-19_27_41
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: 0.6020
Accuracy: 0.7032
F1: 0.4851
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: 3e-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
0.5914
0.67
0.0294
No log
2.0
96
0.5616
0.695
0.2824
No log
3.0
144
0.5596
0.73
0.5909
No log
4.0
192
0.6273
0.73
0.5
No log
5.0
240
0.6370
0.71
0.5
Framework versions
Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3
