adam_modelcard – AI Model by Aroun-coumar | AlphaNeural AI

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Aroun-coumar/
adam_modelcard

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distilbert/distilbert-base-uncased

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adam_modelcard

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

Loss: 4.0714

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08optimizer_args =None
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	63	4.3167
No log	2.0	126	4.0993
No log	3.0	189	4.0714

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.4.1+cpu
Datasets 2.21.0
Tokenizers 0.19.1