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adaptation_diacritized

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +19 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [lazymonster/15k-combined-diacritized-scratch](https://huggingface.co/lazymonster/15k-combined-diacritized-scratch) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9661
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- - Accuracy: 0.6648
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- - F1 Macro: 0.6418
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- - Composite Score: 0.6418
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
@@ -55,11 +55,20 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Composite Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|
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- | No log | 1.0 | 267 | 0.9551 | 0.6614 | 0.6376 | 0.6376 |
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- | 0.5979 | 2.0 | 534 | 0.9674 | 0.6571 | 0.6420 | 0.6420 |
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- | 0.5979 | 3.0 | 801 | 0.9542 | 0.6691 | 0.6452 | 0.6452 |
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- | 0.5758 | 4.0 | 1068 | 0.9604 | 0.6628 | 0.6397 | 0.6397 |
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- | 0.5758 | 5.0 | 1335 | 0.9661 | 0.6648 | 0.6418 | 0.6418 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [lazymonster/15k-combined-diacritized-scratch](https://huggingface.co/lazymonster/15k-combined-diacritized-scratch) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0240
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+ - Accuracy: 0.6734
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+ - F1 Macro: 0.6510
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+ - Composite Score: 0.6510
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  ## Model description
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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: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Composite Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|
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+ | No log | 1.0 | 267 | 0.9467 | 0.6662 | 0.6397 | 0.6397 |
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+ | 0.5963 | 2.0 | 534 | 0.9685 | 0.6504 | 0.6373 | 0.6373 |
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+ | 0.5963 | 3.0 | 801 | 0.9401 | 0.6686 | 0.6457 | 0.6457 |
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+ | 0.5689 | 4.0 | 1068 | 0.9578 | 0.6671 | 0.6433 | 0.6433 |
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+ | 0.5689 | 5.0 | 1335 | 0.9699 | 0.6681 | 0.6452 | 0.6452 |
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+ | 0.5488 | 6.0 | 1602 | 0.9692 | 0.6758 | 0.6484 | 0.6484 |
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+ | 0.5488 | 7.0 | 1869 | 0.9762 | 0.6715 | 0.6513 | 0.6513 |
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+ | 0.5263 | 8.0 | 2136 | 0.9864 | 0.6786 | 0.6530 | 0.6530 |
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+ | 0.5263 | 9.0 | 2403 | 0.9853 | 0.6777 | 0.6523 | 0.6523 |
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+ | 0.5072 | 10.0 | 2670 | 0.9843 | 0.6844 | 0.6573 | 0.6573 |
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+ | 0.5072 | 11.0 | 2937 | 1.0037 | 0.6782 | 0.6553 | 0.6553 |
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+ | 0.4946 | 12.0 | 3204 | 0.9960 | 0.6767 | 0.6548 | 0.6548 |
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+ | 0.4946 | 13.0 | 3471 | 1.0123 | 0.6810 | 0.6572 | 0.6572 |
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+ | 0.488 | 14.0 | 3738 | 1.0240 | 0.6734 | 0.6510 | 0.6510 |
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  ### Framework versions
model.safetensors CHANGED
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