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albert-twitter-hate – AI Model by TELUSKUNTA | AlphaNeural AI
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albert-twitter-hate
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safetensors
albert
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
us
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albert-twitter-hate
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5210
Accuracy: 0.741
Precision: 0.6591
Recall: 0.8150
F1: 0.7288
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
1.0
282
0.5499
0.721
0.6418
0.7845
0.7060
0.4566
2.0
564
0.5210
0.741
0.6591
0.8150
0.7288
0.4566
3.0
846
0.5642
0.749
0.6833
0.7681
0.7233
Framework versions
Transformers 4.40.2
Pytorch 2.7.1+cu126
Datasets 2.19.1
Tokenizers 0.19.1
