juan071
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my-super-model

Text Classification

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text-embeddings-inference

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my-super-model

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

Loss: 1.6064

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

Training results

Training Loss	Epoch	Step	Validation Loss
1.5353	0.5	5	1.6092
1.6015	1.0	10	1.6064

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1

Downloads last month: 2

Safetensors

Model size

0.1B params

Tensor type

F32

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Base model

google-bert/bert-base-cased

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