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bert-base-cased-sft-glue-sst2 – AI Model by sauc-abadal-lloret | AlphaNeural AI
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sauc-abadal-lloret
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bert-base-cased-sft-glue-sst2
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-cased-sft-glue-sst2
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2444
Accuracy: 0.9209
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: 2e-05
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0
0
0.6980
0.4851
No log
1.0
264
0.2310
0.9140
0.2038
2.0
528
0.2655
0.9060
0.2038
3.0
792
0.2444
0.9209
Framework versions
Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
