---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SOMD-train-bert-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SOMD-train-bert-v2

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: 0.0002
- F1: 0.9897

## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 1243 | 0.0047          | 0.7140 |
| No log        | 2.0   | 2486 | 0.0018          | 0.8496 |
| No log        | 3.0   | 3729 | 0.0011          | 0.9078 |
| No log        | 4.0   | 4972 | 0.0003          | 0.9791 |
| No log        | 5.0   | 6215 | 0.0002          | 0.9897 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1