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hw1_model_distilbert-base-uncased-finetuned-sst2 – AI Model by awariar | AlphaNeural AI

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awariar/
hw1_model_distilbert-base-uncased-finetuned-sst2

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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hw1_model_distilbert-base-uncased-finetuned-sst2

This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2906
eval_accuracy: 0.9014
eval_runtime: 1.319
eval_samples_per_second: 661.093
eval_steps_per_second: 41.697
step: 0

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3