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jb2k_bert-base-multilingual-cased-language-detection-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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jb2k_bert-base-multilingual-cased-language-detection-finetuned-lora-tweet_eval_irony
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text-classification
tweet_eval
jb2k/bert-base-multilingual-cased-language-detection
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jb2k_bert-base-multilingual-cased-language-detection-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
jb2k/bert-base-multilingual-cased-language-detection
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.5906
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
0.4806
None
0
0.5476
0.6896
0
0.5654
0.6710
1
0.5738
0.6549
2
0.5770
0.6416
3
0.5801
0.6325
4
0.5853
0.6288
5
0.5853
0.6242
6
0.5906
0.6154
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
