metadata
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: chatbot
results: []
chatbot
This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6024
- Accuracy: 0.8958
- F1: 0.8910
- Precision: 0.8846
- Recall: 0.9295
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 2.9886 | 10.0 | 50 | 2.5714 | 0.2708 | 0.1833 | 0.1547 | 0.2949 |
| 1.3584 | 20.0 | 100 | 1.1008 | 0.8542 | 0.8496 | 0.8622 | 0.9071 |
| 0.1639 | 30.0 | 150 | 0.6093 | 0.8958 | 0.8897 | 0.8910 | 0.9295 |
| 0.0136 | 40.0 | 200 | 0.6092 | 0.9167 | 0.9112 | 0.9071 | 0.9423 |
| 0.007 | 50.0 | 250 | 0.6024 | 0.8958 | 0.8910 | 0.8846 | 0.9295 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Tokenizers 0.15.2