shreyaaaaaaaaa
/

my_awesome_model

Text Classification

Generated from Trainer

text-embeddings-inference

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my_awesome_model

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.5356
eval_accuracy: 0.5086
eval_runtime: 1.783
eval_samples_per_second: 619.189
eval_steps_per_second: 38.699
epoch: 1.0
step: 534

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: 16
eval_batch_size: 16
seed: 42
distributed_type: tpu
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: 5

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cpu
Datasets 4.4.1
Tokenizers 0.22.1

Downloads last month: 7

Safetensors

Model size

0.1B params

Tensor type

F32

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Base model

google-bert/bert-base-cased

Finetuned

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