---
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: M12-BirtSimilarity-Mix-With-GlossBERT
  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. -->

# M12-BirtSimilarity-Mix-With-GlossBERT

This model is a fine-tuned version of [aomar85/M12-BERT-SIMILIARITY](https://huggingface.co/aomar85/M12-BERT-SIMILIARITY) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2815
- Accuracy: 0.9172
- Precision: 0.8973
- Recall: 0.9348
- F1: 0.9157

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.2469        | 1.0   | 59883  | 0.2437          | 0.9159   | 0.8847    | 0.9488 | 0.9156 |
| 0.2302        | 2.0   | 119766 | 0.2884          | 0.9172   | 0.8862    | 0.9496 | 0.9168 |
| 0.2201        | 3.0   | 179649 | 0.2552          | 0.9177   | 0.8953    | 0.9385 | 0.9164 |
| 0.2045        | 4.0   | 239532 | 0.2815          | 0.9172   | 0.8973    | 0.9348 | 0.9157 |


### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1