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fine_tuned_rte_croslo

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fine_tuned_rte_croslo

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/May22_18-31-54_DESKTOP-22QTFDR/events.out.tfevents.1716395516.DESKTOP-22QTFDR.27760.15 +3 -0
  4. runs/May22_18-31-54_DESKTOP-22QTFDR/events.out.tfevents.1716395680.DESKTOP-22QTFDR.27760.16 +3 -0
  5. runs/May22_18-35-14_DESKTOP-22QTFDR/events.out.tfevents.1716395715.DESKTOP-22QTFDR.27760.17 +3 -0
  6. runs/May22_18-35-14_DESKTOP-22QTFDR/events.out.tfevents.1716395832.DESKTOP-22QTFDR.27760.18 +3 -0
  7. runs/May22_18-37-37_DESKTOP-22QTFDR/events.out.tfevents.1716395858.DESKTOP-22QTFDR.27760.19 +3 -0
  8. runs/May22_18-37-37_DESKTOP-22QTFDR/events.out.tfevents.1716395967.DESKTOP-22QTFDR.27760.20 +3 -0
  9. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7816
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  - Accuracy: 0.6207
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- - F1: 0.5951
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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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
@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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- | 0.6484 | 1.7241 | 50 | 0.6137 | 0.6897 | 0.6523 |
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- | 0.3676 | 3.4483 | 100 | 0.6570 | 0.6897 | 0.6290 |
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- | 0.108 | 5.1724 | 150 | 1.1262 | 0.6207 | 0.5466 |
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- | 0.0117 | 6.8966 | 200 | 1.5598 | 0.5862 | 0.5666 |
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- | 0.0019 | 8.6207 | 250 | 1.6851 | 0.5862 | 0.5483 |
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- | 0.0012 | 10.3448 | 300 | 1.7394 | 0.6207 | 0.5951 |
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- | 0.001 | 12.0690 | 350 | 1.7780 | 0.6207 | 0.5951 |
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- | 0.0024 | 13.7931 | 400 | 1.7816 | 0.6207 | 0.5951 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6954
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  - Accuracy: 0.6207
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+ - F1: 0.6090
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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: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6763 | 1.7241 | 50 | 0.7138 | 0.4483 | 0.4145 |
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+ | 0.5789 | 3.4483 | 100 | 0.6502 | 0.5517 | 0.5215 |
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+ | 0.4644 | 5.1724 | 150 | 0.6409 | 0.6552 | 0.6552 |
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+ | 0.3137 | 6.8966 | 200 | 0.6524 | 0.5862 | 0.5222 |
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+ | 0.2053 | 8.6207 | 250 | 0.6379 | 0.6552 | 0.6388 |
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+ | 0.1242 | 10.3448 | 300 | 0.6661 | 0.6207 | 0.6090 |
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+ | 0.0737 | 12.0690 | 350 | 0.6753 | 0.6207 | 0.6090 |
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+ | 0.0521 | 13.7931 | 400 | 0.6954 | 0.6207 | 0.6090 |
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  ### Framework versions
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