loha_fine_tuned_copa_croslo
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README.md
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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.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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### Framework versions
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- PEFT 0.
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- Transformers 4.
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- Pytorch 2.3.0
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- Datasets 2.19.
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- Tokenizers 0.19.1
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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: 1.3989
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- Accuracy: 0.65
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- F1: 0.6507
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.7116 | 1.0 | 50 | 0.6663 | 0.57 | 0.5704 |
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| 0.657 | 2.0 | 100 | 0.6277 | 0.62 | 0.62 |
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| 0.49 | 3.0 | 150 | 0.6608 | 0.67 | 0.6708 |
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| 0.3144 | 4.0 | 200 | 0.7786 | 0.68 | 0.6805 |
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| 0.099 | 5.0 | 250 | 1.1639 | 0.63 | 0.6303 |
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| 0.0377 | 6.0 | 300 | 1.2560 | 0.65 | 0.6496 |
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| 0.0216 | 7.0 | 350 | 1.3663 | 0.65 | 0.6503 |
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| 0.0107 | 8.0 | 400 | 1.3989 | 0.65 | 0.6507 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_model.safetensors
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tokenizer.json
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training_args.bin
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