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distil-bert-final-version – AI Model by pilotj | AlphaNeural AI

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pilotj/
distil-bert-final-version

like

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text-classification

generated_from_trainer

pilotj/distilbert-base-uncased-fibe-full-finetuned

autotrain_compatible

endpoints_compatible

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distil-bert-final-version

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

eval_loss: 0.4621
eval_runtime: 244.5245
eval_samples_per_second: 106.946
eval_steps_per_second: 0.838
epoch: 0.4331
step: 9000

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: 8e-05
train_batch_size: 32
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.5
num_epochs: 1

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1