Pavarissy/phayathaibert-thainer
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README.md
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---
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base_model: clicknext/phayathaibert
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: phayathaibert-thainer
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# phayathaibert-thainer
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This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1320
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- Precision: 0.8493
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- Recall: 0.8937
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- F1: 0.8710
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- Accuracy: 0.9735
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 493 | 0.1341 | 0.7524 | 0.8047 | 0.7777 | 0.9630 |
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| 0.2346 | 2.0 | 986 | 0.1117 | 0.8015 | 0.8499 | 0.8250 | 0.9702 |
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| 0.0922 | 3.0 | 1479 | 0.1173 | 0.8192 | 0.8716 | 0.8446 | 0.9719 |
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| 0.059 | 4.0 | 1972 | 0.1157 | 0.8275 | 0.8744 | 0.8503 | 0.9725 |
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| 0.0419 | 5.0 | 2465 | 0.1203 | 0.8149 | 0.8766 | 0.8446 | 0.9732 |
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| 0.0297 | 6.0 | 2958 | 0.1335 | 0.8361 | 0.8802 | 0.8576 | 0.9736 |
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| 0.0237 | 7.0 | 3451 | 0.1335 | 0.8394 | 0.8798 | 0.8591 | 0.9745 |
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| 0.0161 | 8.0 | 3944 | 0.1383 | 0.8409 | 0.8843 | 0.8621 | 0.9744 |
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| 0.0133 | 9.0 | 4437 | 0.1457 | 0.8446 | 0.8828 | 0.8633 | 0.9743 |
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| 0.01 | 10.0 | 4930 | 0.1437 | 0.8433 | 0.8811 | 0.8618 | 0.9747 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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runs/Dec04_13-26-56_63141ca7413b/events.out.tfevents.1701698150.63141ca7413b.637.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:e40344d0a8a9caa360b828e8852b8813b7593ba234bf7ced483e1167e4d37ad9
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size 560
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