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library_name: transformers
license: mit
base_model: somukandula/maskara-tiny
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: maskara-tiny-v2
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. -->
# maskara-tiny-v2
This model is a fine-tuned version of [somukandula/maskara-tiny](https://huggingface.co/somukandula/maskara-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1264
- Precision: 0.0627
- Recall: 0.2523
- F1: 0.1004
## 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: 8e-06
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|
| 1.2386 | 0.0936 | 1000 | 1.4658 | 0.0466 | 0.1926 | 0.0751 |
| 1.1062 | 0.1873 | 2000 | 1.2917 | 0.0576 | 0.2296 | 0.0921 |
| 1.0024 | 0.2809 | 3000 | 1.2243 | 0.0605 | 0.2386 | 0.0966 |
| 1.0004 | 0.3745 | 4000 | 1.1891 | 0.0600 | 0.2425 | 0.0961 |
| 0.962 | 0.4682 | 5000 | 1.1587 | 0.0641 | 0.2515 | 0.1022 |
| 0.9539 | 0.5618 | 6000 | 1.1307 | 0.0627 | 0.2444 | 0.0998 |
| 0.9417 | 0.6554 | 7000 | 1.1264 | 0.0627 | 0.2523 | 0.1004 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
|