metadata

license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
  - generated_from_trainer
model-index:
  - name: distilbert-multilingual-sentiment
    results: []

distilbert-multilingual-sentiment

This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.3619
eval_accuracy: 0.7435
eval_runtime: 25.7389
eval_samples_per_second: 82.715
eval_steps_per_second: 5.206
epoch: 6.0
step: 6390

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Framework versions

Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0