metadata

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

distilbert-base-multilingual-cased-finetuned-cases

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:

Loss: 2.6181

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.8246	1.0	7	2.6741
2.5295	2.0	14	2.3980
2.4329	3.0	21	2.2477

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cpu
Datasets 2.18.0
Tokenizers 0.15.2