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dhimskyy_wiki-bert-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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dhimskyy_wiki-bert-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
dhimskyy/wiki-bert
adapter
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dhimskyy_wiki-bert-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
dhimskyy/wiki-bert
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.5749
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
0.5215
None
0
0.5476
0.6930
0
0.5738
0.6883
1
0.5759
0.6802
2
0.5613
0.6658
3
0.5749
0.6548
4
0.5487
0.6509
5
0.5853
0.6418
6
0.5749
0.6377
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
