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distilbert-base-uncased-finetuned-moral-action – AI Model by agi-css | AlphaNeural AI
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distilbert-base-uncased-finetuned-moral-action
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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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distilbert-base-uncased-finetuned-moral-action
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4632
Accuracy: 0.7912
F1: 0.7912
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: 9.716387809233253e-05
train_batch_size: 2000
eval_batch_size: 2000
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
10
0.5406
0.742
0.7399
No log
2.0
20
0.4810
0.7628
0.7616
No log
3.0
30
0.4649
0.786
0.7856
No log
4.0
40
0.4600
0.7916
0.7916
No log
5.0
50
0.4632
0.7912
0.7912
Framework versions
Transformers 4.17.0.dev0
Pytorch 1.10.1
Datasets 2.0.0
Tokenizers 0.11.0
