ai557
/

xxx

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

xxx

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: 0.1999
Accuracy: 0.9299

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: 32
eval_batch_size: 32
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
0.2877	1.0	782	0.1984	0.9220
0.1407	2.0	1564	0.1999	0.9299

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1

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Safetensors

Model size

67M params

Tensor type

F32

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Base model

distilbert/distilbert-base-uncased

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