metadata
library_name: transformers
license: apache-2.0
base_model: bert-large-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-large-cased-topic_classification
results: []
bert-large-cased-topic_classification
This model is a fine-tuned version of bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6996
- Precision: 0.9000
- Recall: 0.8902
- F1: 0.8941
- Accuracy: 0.8922
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 44 | 0.6240 | 0.8483 | 0.8532 | 0.8411 | 0.8480 |
| No log | 2.0 | 88 | 0.3887 | 0.9054 | 0.8660 | 0.8792 | 0.8873 |
| No log | 3.0 | 132 | 0.4416 | 0.9015 | 0.9034 | 0.9022 | 0.9020 |
| No log | 4.0 | 176 | 0.6620 | 0.9290 | 0.8847 | 0.8991 | 0.9020 |
| No log | 5.0 | 220 | 0.6337 | 0.9148 | 0.8880 | 0.8970 | 0.8971 |
| No log | 6.0 | 264 | 0.6673 | 0.8965 | 0.8875 | 0.8905 | 0.8922 |
| No log | 7.0 | 308 | 0.6857 | 0.9000 | 0.8902 | 0.8941 | 0.8922 |
| No log | 8.0 | 352 | 0.6921 | 0.9000 | 0.8902 | 0.8941 | 0.8922 |
| No log | 9.0 | 396 | 0.6976 | 0.9000 | 0.8902 | 0.8941 | 0.8922 |
| No log | 10.0 | 440 | 0.6996 | 0.9000 | 0.8902 | 0.8941 | 0.8922 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1