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# finetuned-parsbert-uncased-ArmanEmo

This model is a fine-tuned version of [HooshvareLab/bert-base-parsbert-uncased](https://huggingface.co/HooshvareLab/bert-base-parsbert-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4254
- Accuracy: 0.6247
- Precision Macro: 0.6761
- Recall Macro: 0.6249
- F1 Macro: 0.6278
- F1 C0: 0.6032
- F1 C1: 0.7368
- F1 C2: 0.6175
- F1 C3: 0.7119
- F1 C4: 0.5630
- F1 C5: 0.6102
- F1 C6: 0.5517
- Recall C0: 0.4727
- Recall C1: 0.7481
- Recall C2: 0.5714
- Recall C3: 0.7368
- Recall C4: 0.4621
- Recall C5: 0.5538
- Recall C6: 0.8290
- Precision C0: 0.8333
- Precision C1: 0.7259
- Precision C2: 0.6718
- Precision C3: 0.6885
- Precision C4: 0.7204
- Precision C5: 0.6792
- Precision C6: 0.4134

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Macro | Recall Macro | F1 Macro | F1 C0  | F1 C1  | F1 C2  | F1 C3  | F1 C4  | F1 C5  | F1 C6  | Recall C0 | Recall C1 | Recall C2 | Recall C3 | Recall C4 | Recall C5 | Recall C6 | Precision C0 | Precision C1 | Precision C2 | Precision C3 | Precision C4 | Precision C5 | Precision C6 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:------------:|:------------:|:------------:|:------------:|:------------:|:------------:|:------------:|
| 0.3564        | 1.0   | 766  | 0.3085          | 0.5265   | 0.5923          | 0.5530       | 0.5192   | 0.2788 | 0.6756 | 0.6049 | 0.6963 | 0.5085 | 0.3925 | 0.4776 | 0.1673    | 0.6756    | 0.7208    | 0.8246    | 0.4138    | 0.3231    | 0.7461    | 0.8364       | 0.6756       | 0.5211       | 0.6026       | 0.6593       | 0.5          | 0.3512       |
| 0.1889        | 2.0   | 1532 | 0.2540          | 0.6316   | 0.6434          | 0.6201       | 0.6247   | 0.6904 | 0.6550 | 0.6007 | 0.704  | 0.5827 | 0.5882 | 0.5515 | 0.6691    | 0.7863    | 0.5519    | 0.7719    | 0.5103    | 0.5385    | 0.5130    | 0.7132       | 0.5613       | 0.6589       | 0.6471       | 0.6789       | 0.6481       | 0.5964       |
| 0.1052        | 3.0   | 2298 | 0.2935          | 0.6351   | 0.6389          | 0.6226       | 0.6248   | 0.6816 | 0.6911 | 0.6205 | 0.6182 | 0.6015 | 0.5873 | 0.5732 | 0.6618    | 0.6107    | 0.6688    | 0.5965    | 0.5517    | 0.5692    | 0.6995    | 0.7027       | 0.7960       | 0.5787       | 0.6415       | 0.6612       | 0.6066       | 0.4856       |
| 0.0506        | 4.0   | 3064 | 0.4011          | 0.6342   | 0.6904          | 0.6255       | 0.6327   | 0.625  | 0.7532 | 0.6093 | 0.7018 | 0.5391 | 0.6379 | 0.5625 | 0.4909    | 0.7977    | 0.5519    | 0.7018    | 0.4276    | 0.5692    | 0.8394    | 0.8599       | 0.7133       | 0.68         | 0.7018       | 0.7294       | 0.7255       | 0.4230       |
| 0.0258        | 5.0   | 3830 | 0.4254          | 0.6247   | 0.6761          | 0.6249       | 0.6278   | 0.6032 | 0.7368 | 0.6175 | 0.7119 | 0.5630 | 0.6102 | 0.5517 | 0.4727    | 0.7481    | 0.5714    | 0.7368    | 0.4621    | 0.5538    | 0.8290    | 0.8333       | 0.7259       | 0.6718       | 0.6885       | 0.7204       | 0.6792       | 0.4134       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "HooshvareLab/bert-base-parsbert-uncased", "model-index": [{"name": "finetuned-parsbert-uncased-ArmanEmo", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:HooshvareLab/bert-base-parsbert-uncased autotrain_compatible endpoints_compatible region:us