ricebucket
/

RateMyProfessor_DistilBERT

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results

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7359
Model Preparation Time: 0.0011

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
1.7143	1.0	424	1.7471	0.0011

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu118
Datasets 3.1.0
Tokenizers 0.20.1

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Safetensors

Model size

67M params

Tensor type

F32

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distilbert/distilbert-base-uncased

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