metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: ctbert_climate_step2_three_category
results: []
ctbert_climate_step2_three_category
This model is a fine-tuned version of Teapotboy/ctbert_climate_step1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6038
- Accuracy: 0.805
- Precision: 0.8034
- Recall: 0.805
- F1-weighted: 0.8008
- F1: 0.7798
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: 128
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1-weighted | F1 |
|---|---|---|---|---|---|---|---|---|
| 1.0552 | 1.0 | 13 | 1.0037 | 0.5925 | 0.4696 | 0.5925 | 0.5014 | 0.4092 |
| 0.9542 | 2.0 | 26 | 0.7901 | 0.6475 | 0.7247 | 0.6475 | 0.5755 | 0.5004 |
| 0.8064 | 3.0 | 39 | 0.6620 | 0.7125 | 0.7298 | 0.7125 | 0.6807 | 0.6323 |
| 0.5555 | 4.0 | 52 | 0.6044 | 0.7425 | 0.7416 | 0.7425 | 0.7298 | 0.6985 |
| 0.4958 | 5.0 | 65 | 0.6352 | 0.7425 | 0.7548 | 0.7425 | 0.7238 | 0.6840 |
| 0.4388 | 6.0 | 78 | 0.6029 | 0.7675 | 0.7701 | 0.7675 | 0.7563 | 0.7249 |
| 0.3266 | 7.0 | 91 | 0.6036 | 0.775 | 0.7782 | 0.775 | 0.7623 | 0.7326 |
| 0.2613 | 8.0 | 104 | 0.6038 | 0.805 | 0.8034 | 0.805 | 0.8008 | 0.7798 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3