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gchhablani_bert-base-cased-finetuned-wnli-finetuned-lora-tweet_eval_hate – AI Model by TransferGraph | AlphaNeural AI
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gchhablani_bert-base-cased-finetuned-wnli-finetuned-lora-tweet_eval_hate
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peft
safetensors
parquet
text-classification
tweet_eval
gchhablani/bert-base-cased-finetuned-wnli
adapter
apache-2.0
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gchhablani_bert-base-cased-finetuned-wnli-finetuned-lora-tweet_eval_hate
This model is a fine-tuned version of
gchhablani/bert-base-cased-finetuned-wnli
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.708
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: 0.0004
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: 4
Training results
accuracy
train_loss
epoch
0.573
None
0
0.687
0.6008
0
0.699
0.5004
1
0.7
0.4675
2
0.708
0.4508
3
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
