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---
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
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