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anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
anirudh21/bert-base-uncased-finetuned-qnli
adapter
apache-2.0
model-index
us
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anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
anirudh21/bert-base-uncased-finetuned-qnli
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.6702
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
0.5026
None
0
0.5623
0.7046
0
0.6052
0.6689
1
0.6272
0.6211
2
0.6681
0.5951
3
0.6482
0.5692
4
0.6492
0.5597
5
0.6691
0.5490
6
0.6702
0.5413
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
