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finetuned_sentence_itr0_0.0002_all_27_02_2022-19_11_17 – AI Model by ali2066 | AlphaNeural AI
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finetuned_sentence_itr0_0.0002_all_27_02_2022-19_11_17
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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_0.0002_all_27_02_2022-19_11_17
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: 0.4064
Accuracy: 0.8289
F1: 0.8901
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: 0.0002
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
195
0.4163
0.8085
0.8780
No log
2.0
390
0.4098
0.8268
0.8878
0.312
3.0
585
0.5892
0.8244
0.8861
0.312
4.0
780
0.7580
0.8232
0.8845
0.312
5.0
975
0.9028
0.8183
0.8824
Framework versions
Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3
