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bert-base-uncased-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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bert-base-uncased-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
google-bert/bert-base-uncased
adapter
apache-2.0
model-index
us
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bert-base-uncased-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
bert-base-uncased
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.6660
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
0.4775
None
0
0.5654
0.6976
0
0.6115
0.6567
1
0.6241
0.6117
2
0.6649
0.5838
3
0.6471
0.5611
4
0.6440
0.5594
5
0.6576
0.5457
6
0.6660
0.5372
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
