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anferico_bert-for-patents-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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anferico_bert-for-patents-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
anferico/bert-for-patents
adapter
apache-2.0
model-index
us
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anferico_bert-for-patents-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
anferico/bert-for-patents
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.6398
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
0.5058
None
0
0.5728
0.7129
0
0.5738
0.6708
1
0.5874
0.6455
2
0.6136
0.6207
3
0.6126
0.5948
4
0.5958
0.5648
5
0.6335
0.5526
6
0.6398
0.5388
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
