Ahm123
/

distilbert-emotion

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

distilbert-emotion

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.

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: 256
eval_batch_size: 256
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	Accuracy	F1
No log	1.0	2	1.6915	0.38	0.2093

Framework versions

Transformers 4.45.1
Pytorch 2.4.1+cpu
Datasets 3.0.1
Tokenizers 0.20.0

Downloads last month: 3

Safetensors

Model size

67M params

Tensor type

F32

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distilbert/distilbert-base-uncased

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