---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: lead-reliability-scoring
  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. -->

# lead-reliability-scoring

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0123
- F1: 0.9937

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 50   | 0.3866          | 0.5761 |
| No log        | 2.0   | 100  | 0.3352          | 0.6538 |
| No log        | 3.0   | 150  | 0.1786          | 0.8283 |
| No log        | 4.0   | 200  | 0.1862          | 0.8345 |
| No log        | 5.0   | 250  | 0.1367          | 0.8736 |
| No log        | 6.0   | 300  | 0.0642          | 0.9477 |
| No log        | 7.0   | 350  | 0.0343          | 0.9748 |
| No log        | 8.0   | 400  | 0.0190          | 0.9874 |
| No log        | 9.0   | 450  | 0.0123          | 0.9937 |
| 0.2051        | 10.0  | 500  | 0.0058          | 0.9937 |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
