metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ConfliBERT-multilingual-uncased
results: []
ConfliBERT-multilingual-uncased
This model is a fine-tuned version of ../models/bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8783
- Accuracy: 0.7943
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: 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
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.0.dev20231003+cu121
- Datasets 2.14.5
- Tokenizers 0.19.1