Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-tweet_eval_emotion – AI Model by TransferGraph | AlphaNeural AI
You can deploy this model and start earning money today!
TransferGraph
/
anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-tweet_eval_emotion
like
0
peft
safetensors
parquet
text-classification
tweet_eval
anirudh21/bert-base-uncased-finetuned-qnli
adapter
apache-2.0
model-index
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
anirudh21_bert-base-uncased-finetuned-qnli-finetuned-lora-tweet_eval_emotion
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: 0.7460
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
0.2567
None
0
0.4439
1.2523
0
0.6203
1.1450
1
0.7406
0.8900
2
0.7460
0.7777
3
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
