metadata
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: esg-class_bert_0709_other_v1
results: []
esg-class_bert_0709_other_v1
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6888
- Accuracy: 0.7907
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 64 | 1.9924 | 0.3295 |
| No log | 2.0 | 128 | 1.4201 | 0.5698 |
| No log | 3.0 | 192 | 1.1120 | 0.6783 |
| No log | 4.0 | 256 | 0.8929 | 0.7403 |
| No log | 5.0 | 320 | 0.7634 | 0.7713 |
| No log | 6.0 | 384 | 0.7063 | 0.7713 |
| No log | 7.0 | 448 | 0.6888 | 0.7907 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3