metadata
library_name: transformers
license: apache-2.0
base_model:
- distilbert/distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: fine-tuned-distilbert-autofill
results: []
fine-tuned-distilbert-autofill
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2367
- Precision: 0.9484
- Recall: 0.9473
- F1: 0.9473
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1