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distilbert-base-uncased-finetuned-tweet_eval_sentiment – AI Model by HSIEN1009 | AlphaNeural AI
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distilbert-base-uncased-finetuned-tweet_eval_sentiment
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
tweet_eval
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-tweet_eval_sentiment
This model is a fine-tuned version of
distilbert-base-uncased
on the tweet_eval dataset. It achieves the following results on the evaluation set:
Loss: 0.6947
Accuracy: 0.6876
F1: 0.6871
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.6741
1.0
1426
0.6890
0.6888
0.6862
0.5239
2.0
2852
0.6947
0.6876
0.6871
Framework versions
Transformers 4.16.2
Pytorch 2.1.0+cu121
Datasets 1.16.1
Tokenizers 0.15.0
