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tweet_bert_1408 – AI Model by dsmsb | AlphaNeural AI
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dsmsb
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tweet_bert_1408
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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tweet_bert_1408
This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7067
Accuracy: 0.8477
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
397
0.7847
0.8363
0.2479
2.0
794
0.6668
0.8422
0.2971
3.0
1191
0.6221
0.8481
0.2087
4.0
1588
0.6557
0.8488
0.2087
5.0
1985
0.7067
0.8477
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
