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distilbert-base-uncased-finetuned-SOTUs_parltexts-v1-RILE-v1 – AI Model by kghanlon | AlphaNeural AI
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kghanlon
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distilbert-base-uncased-finetuned-SOTUs_parltexts-v1-RILE-v1
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
kghanlon/distilbert-base-uncased-finetuned-SOTUs_parltexts-v1
finetune
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-SOTUs_parltexts-v1-RILE-v1
This model is a fine-tuned version of
kghanlon/distilbert-base-uncased-finetuned-SOTUs_parltexts-v1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6719
Accuracy: 0.7272
Recall: 0.7272
F1: 0.7265
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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Recall
F1
0.6945
1.0
15490
0.6855
0.7104
0.7104
0.7091
0.6531
2.0
30980
0.6681
0.7210
0.7210
0.7213
0.6133
3.0
46470
0.6719
0.7272
0.7272
0.7265
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
