wnic00
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distilbert-new

Text Classification

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text-embeddings-inference

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distilbert-new

This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9321
Accuracy: 0.5589

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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9458	1.0	3203	0.9259	0.5578
0.844	2.0	6406	0.9321	0.5589

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cpu
Datasets 2.14.4
Tokenizers 0.13.0

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