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connectivity_bert_ft_qqp-7-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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connectivity_bert_ft_qqp-7-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
connectivity/bert_ft_qqp-7
adapter
model-index
us
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connectivity_bert_ft_qqp-7-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
connectivity/bert_ft_qqp-7
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.6471
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
0.5194
None
0
0.5225
0.9807
0
0.5288
0.7045
1
0.5183
0.6919
2
0.6031
0.6812
3
0.6283
0.6556
4
0.5990
0.6307
5
0.6325
0.6121
6
0.6471
0.6077
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
