Training completed!
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README.md
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---
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license: mit
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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# xlm-roberta-base-finetuned-panx-hi-5-epochs
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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### Framework versions
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---
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license: mit
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base_model: DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs
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tags:
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- generated_from_trainer
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metrics:
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# xlm-roberta-base-finetuned-panx-hi-5-epochs
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This model is a fine-tuned version of [DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs](https://huggingface.co/DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2936
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- F1: 0.8848
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.168 | 1.0 | 168 | 0.3044 | 0.8586 |
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| 0.1187 | 2.0 | 336 | 0.2836 | 0.8640 |
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| 0.0848 | 3.0 | 504 | 0.2728 | 0.8800 |
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| 0.0528 | 4.0 | 672 | 0.2969 | 0.8959 |
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| 0.0308 | 5.0 | 840 | 0.2936 | 0.8848 |
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### Framework versions
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config.json
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{
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"_name_or_path": "xlm-roberta-base",
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"architectures": [
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"XLMRobertaForTokenClassification"
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],
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{
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"_name_or_path": "DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs",
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"architectures": [
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"XLMRobertaForTokenClassification"
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],
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model.safetensors
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runs/Feb19_18-29-31_d3369a04bbf8/events.out.tfevents.1708368275.d3369a04bbf8.8423.2
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