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connectivity_bert_ft_qqp-17-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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connectivity_bert_ft_qqp-17-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
connectivity/bert_ft_qqp-17
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connectivity_bert_ft_qqp-17-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
connectivity/bert_ft_qqp-17
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.5717
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
0.5173
None
0
0.5110
0.9009
0
0.4963
0.6899
1
0.5141
0.6824
2
0.5414
0.6762
3
0.5414
0.6694
4
0.5592
0.6639
5
0.5623
0.6567
6
0.5717
0.6512
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
