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---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: DIALOGUE_second_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DIALOGUE_second_model
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3364
- Precision: 0.9762
- Recall: 0.9737
- F1: 0.9736
- Accuracy: 0.9737
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.3667 | 0.31 | 15 | 1.2505 | 0.2468 | 0.4868 | 0.3263 | 0.4868 |
| 1.1649 | 0.62 | 30 | 1.0587 | 0.8659 | 0.7105 | 0.6935 | 0.7105 |
| 1.0288 | 0.94 | 45 | 0.8905 | 0.9479 | 0.9342 | 0.9331 | 0.9342 |
| 0.8541 | 1.25 | 60 | 0.7069 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
| 0.6833 | 1.56 | 75 | 0.5616 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
| 0.6072 | 1.88 | 90 | 0.4586 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
| 0.4665 | 2.19 | 105 | 0.3944 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
| 0.4274 | 2.5 | 120 | 0.3563 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
| 0.4116 | 2.81 | 135 | 0.3364 | 0.9762 | 0.9737 | 0.9736 | 0.9737 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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