model – AI Model by Jineen-Hourani | AlphaNeural AI

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Jineen-Hourani/
model

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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model

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: 0.8239
Accuracy: 0.6381
Macro F1: 0.6360

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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1
0.8324	1.0	748	0.8115	0.6080	0.6126
0.6419	2.0	1496	0.8239	0.6381	0.6360

Framework versions

Transformers 4.48.0
Pytorch 2.12.0+cpu
Datasets 2.21.0
Tokenizers 0.21.4