This model is a fine-tuned version of google/bert_uncased_L-8_H-512_A-8 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6754
Accuracy: 0.5812

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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	39	0.6806	0.5560
No log	2.0	78	0.6754	0.5812

Framework versions

Transformers 4.50.2
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

berkayaltntas/bert_uncased_L-8_H-512_A-8-finetuned-rte-run_1

bert_uncased_L-8_H-512_A-8-finetuned-rte-run_1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

berkayaltntas/
bert_uncased_L-8_H-512_A-8-finetuned-rte-run_1