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clasificador-tweet-sentiment – AI Model by damoref | AlphaNeural AI
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damoref
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clasificador-tweet-sentiment
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transformers
pytorch
bert
text-classification
classification
generated_from_trainer
tweet_eval
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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clasificador-tweet-sentiment
This model is a fine-tuned version of
bert-base-uncased
on the tweet_eval dataset. It achieves the following results on the evaluation set:
Loss: 0.9057
Accuracy: 0.6
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
75
0.7909
0.6596
No log
2.0
150
0.7958
0.6281
No log
3.0
225
0.9057
0.6
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
