---
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: chatbot
  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. -->

# chatbot

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/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