distilbert-base-multilingual-cased-sentiment

Model overview

distilbert-base-multilingual-cased-sentiment is published by philschmid as a distilbert text-classification model. The captured configuration identifies DistilBertForSequenceClassification with an Apache-2.0 license. According to the model card, it fine-tunes distilbert-base-multilingual-cased on amazon_reviews_multi and reports 0.7648 accuracy and F1 on the evaluation set.

Recorded capabilities

Use cases in the source record

• Review-sentiment classification experiments consistent with the captured text-classification pipeline tag and publisher-described amazon_reviews_multi fine-tune.

Limitations and unknowns

• No parameter count was extracted from this record.
• The captured model card marks intended uses, limitations, and training/evaluation data as requiring more information.
• No context-window, pricing, or hardware-requirement values were extracted.
• Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: philschmid/distilbert-base-multilingual-cased-sentiment

Captured: Unknown. Processed: 2026-09-07T19:34:55.635883+00:00.

distilbert-base-multilingual-cased-sentiment 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: 0.5842 Accuracy: 0.7648 F1: 0.7648 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: 16 eval_batch_size: 16 seed: 33 distributed_type: sagemaker_data_parallel num_devices: 8 total_train…