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Distilbert-sentiment-analysis – AI Model by DracoHugging | AlphaNeural AI
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Distilbert-sentiment-analysis
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transformers
pytorch
safetensors
distilbert
text-classification
model-index
autotrain_compatible
endpoints_compatible
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Distilbert-sentiment-analysis
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: 1.2745
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-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.1633
1.0
1178
1.1116
1.0524
2.0
2356
1.0836
0.9103
3.0
3534
1.1135
0.7676
4.0
4712
1.1945
0.659
5.0
5890
1.2745
Framework versions
Transformers 4.30.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
