---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: anti_semic_test_trainer
  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. -->

# anti_semic_test_trainer

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: 0.6848
- Accuracy: 0.8214
- F1: 0.8148
- Precision: 0.825
- Recall: 0.8049

## 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: 0.0001
- 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log        | 1.0   | 68   | 0.4601          | 0.8370   | 0.7963 | 0.8776    | 0.7288 |
| No log        | 2.0   | 136  | 0.4343          | 0.7926   | 0.8056 | 0.6824    | 0.9831 |
| No log        | 3.0   | 204  | 0.4401          | 0.8370   | 0.8333 | 0.7534    | 0.9322 |
| No log        | 4.0   | 272  | 0.4575          | 0.8889   | 0.8780 | 0.8438    | 0.9153 |
| No log        | 5.0   | 340  | 0.5199          | 0.8444   | 0.8108 | 0.8654    | 0.7627 |
| No log        | 6.0   | 408  | 0.5788          | 0.8222   | 0.7692 | 0.8889    | 0.6780 |
| No log        | 7.0   | 476  | 0.5212          | 0.8519   | 0.8214 | 0.8679    | 0.7797 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cpu
- Datasets 2.16.1
- Tokenizers 0.14.1