Edit model card

distilbert-base-multilingual-cased-sentiment-2

This model is a fine-tuned version of distilbert-base-multilingual-cased on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6067
  • Accuracy: 0.7476
  • F1: 0.7476

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: 0.00024
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 33
  • distributed_type: sagemaker_data_parallel
  • num_devices: 8
  • total_train_batch_size: 128
  • total_eval_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.6885 0.53 5000 0.6532 0.7217 0.7217
0.6411 1.07 10000 0.6348 0.7319 0.7319
0.6057 1.6 15000 0.6186 0.7387 0.7387
0.5844 2.13 20000 0.6236 0.7449 0.7449
0.549 2.67 25000 0.6067 0.7476 0.7476

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.1
  • Datasets 1.15.1
  • Tokenizers 0.10.3
Downloads last month
517
Hosted inference API
Text Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train philschmid/distilbert-base-multilingual-cased-sentiment-2

Evaluation results