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distilbert-base-uncased-finetuned-lora-tweet_eval_irony – AI Model by TransferGraph | AlphaNeural AI
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distilbert-base-uncased-finetuned-lora-tweet_eval_irony
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peft
safetensors
parquet
text-classification
tweet_eval
distilbert/distilbert-base-uncased
adapter
apache-2.0
model-index
us
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distilbert-base-uncased-finetuned-lora-tweet_eval_irony
This model is a fine-tuned version of
distilbert-base-uncased
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.6764
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
0.6105
0.6674
0
0.6230
0.6207
1
0.6712
0.5747
2
0.6921
0.5503
3
0.6754
0.5273
4
0.6440
0.5159
5
0.6754
0.4948
6
0.6764
0.4880
7
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
