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README.md
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- precision
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- recall
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model-index:
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- name: modernBERT-base-multilingual-sentiment
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# modernBERT-base-multilingual-sentiment
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-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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- Precision: 0.
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- Recall: 0.
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## Model description
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- precision
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- recall
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model-index:
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- name: clapAI/modernBERT-base-multilingual-sentiment
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# clapAI/modernBERT-base-multilingual-sentiment
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4517
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- F1: 0.8012
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- Precision: 0.8020
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- Recall: 0.8007
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## Model description
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all_results.json
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{
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"train_loss": 0.7729351929743412,
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{
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"epoch": 5.0,
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"test_f1": 0.8016275597111338,
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"test_precision": 0.8026123522766202,
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"test_recall": 0.8009420818603815,
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"test_steps_per_second": 1.487,
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"train_loss": 0.7729351929743412,
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"train_samples_per_second": 444.524,
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eval_results.json
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"eval_steps_per_second": 1.518
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}
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runs/Jan01_01-03-55_hn-fornix-testing-gpu-platform-2/events.out.tfevents.1735729608.hn-fornix-testing-gpu-platform-2.1050019.1
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version https://git-lfs.github.com/spec/v1
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size 508
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test_results.json
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