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gchhablani_bert-base-cased-finetuned-rte-finetuned-lora-ag_news – AI Model by TransferGraph | AlphaNeural AI
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gchhablani_bert-base-cased-finetuned-rte-finetuned-lora-ag_news
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peft
safetensors
parquet
text-classification
ag_news
gchhablani/bert-base-cased-finetuned-rte
adapter
apache-2.0
model-index
us
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gchhablani_bert-base-cased-finetuned-rte-finetuned-lora-ag_news
This model is a fine-tuned version of
gchhablani/bert-base-cased-finetuned-rte
on the ag_news dataset. It achieves the following results on the evaluation set:
accuracy: 0.9297
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: 24
eval_batch_size: 24
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
0.9168
0.3116
0
0.9245
0.2249
1
0.9286
0.2075
2
0.9297
0.1969
3
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
