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Hate-speech-CNERG_bert-base-uncased-hatexplain-rationale-two-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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Hate-speech-CNERG_bert-base-uncased-hatexplain-rationale-two-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two
adapter
apache-2.0
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us
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Hate-speech-CNERG_bert-base-uncased-hatexplain-rationale-two-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.6513
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: 0.0005
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: 8
Training results
accuracy
train_loss
epoch
0.4932
None
0
0.6105
0.6865
0
0.5979
0.6589
1
0.6136
0.6218
2
0.6115
0.5979
3
0.6272
0.5751
4
0.6283
0.5581
5
0.6366
0.5483
6
0.6513
0.5348
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
