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ishan_bert-base-uncased-mnli-finetuned-lora-tweet_eval_emotion – AI Model by TransferGraph | AlphaNeural AI
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ishan_bert-base-uncased-mnli-finetuned-lora-tweet_eval_emotion
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peft
safetensors
parquet
text-classification
tweet_eval
ishan/bert-base-uncased-mnli
adapter
model-index
us
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ishan_bert-base-uncased-mnli-finetuned-lora-tweet_eval_emotion
This model is a fine-tuned version of
ishan/bert-base-uncased-mnli
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.7701
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
0.3369
None
0
0.6230
1.1865
0
0.7059
0.9572
1
0.7701
0.8155
2
0.7701
0.7561
3
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
