distilbert_classificator – AI Model by loresiensis | AlphaNeural AI

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loresiensis/
distilbert_classificator

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert_classificator

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the tweet_eval dataset. It achieves the following results on the evaluation set:

Loss: 0.8627
Accuracy: 0.7910

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: 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	408	0.6174	0.7882
0.6884	2.0	816	0.7010	0.7945
0.3202	3.0	1224	0.8627	0.7910

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2