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finetuned-Sentiment-classfication-DISTILBERT-model – AI Model by Abubakari | AlphaNeural AI
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finetuned-Sentiment-classfication-DISTILBERT-model
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transformers
pytorch
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuned-Sentiment-classfication-DISTILBERT-model
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: 0.5644
Rmse: 0.6239
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 7
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rmse
0.6862
4.0
500
0.5644
0.6239
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
