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  1. README.md +13 -11
  2. model.safetensors +1 -1
  3. runs/Aug06_13-02-37_9eec24a54a61/events.out.tfevents.1722949358.9eec24a54a61.479.2 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co/PartAI/TookaBERT-Base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7588
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- - Precision: 0.4745
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- - Recall: 0.1738
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- - F1: 0.2544
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- - Accuracy: 0.6770
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  ## Model description
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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: 1
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- - eval_batch_size: 1
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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: 3
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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 | 19 | 2.2673 | 0.3636 | 0.0214 | 0.0404 | 0.6355 |
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- | No log | 2.0 | 38 | 1.9224 | 0.3710 | 0.0615 | 0.1055 | 0.6459 |
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- | No log | 3.0 | 57 | 1.7588 | 0.4745 | 0.1738 | 0.2544 | 0.6770 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co/PartAI/TookaBERT-Base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9495
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+ - Precision: 0.5098
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+ - Recall: 0.4866
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+ - F1: 0.4979
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+ - Accuracy: 0.8050
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  ## Model description
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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: 2
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+ - eval_batch_size: 2
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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: 5
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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 | 10 | 1.4199 | 0.3919 | 0.3102 | 0.3463 | 0.7206 |
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+ | No log | 2.0 | 20 | 1.2065 | 0.4497 | 0.3824 | 0.4133 | 0.7573 |
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+ | No log | 3.0 | 30 | 1.0512 | 0.4792 | 0.4305 | 0.4535 | 0.7759 |
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+ | No log | 4.0 | 40 | 0.9780 | 0.5056 | 0.4840 | 0.4945 | 0.8022 |
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+ | No log | 5.0 | 50 | 0.9495 | 0.5098 | 0.4866 | 0.4979 | 0.8050 |
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  ### Framework versions
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