End of training
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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: roberta-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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# roberta-base-multilingual-sentiment
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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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/roberta-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/roberta-base-multilingual-sentiment
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9434
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- F1: 0.0943
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- Precision: 0.1725
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- Recall: 0.1346
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## Model description
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all_results.json
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{
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"train_loss": 1.7666796875,
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"test_f1": 0.10009022401776128,
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"test_precision": 0.14356813693219223,
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"test_recall": 0.14150273929500776,
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"test_steps_per_second": 6.602,
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"train_loss": 1.7666796875,
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"train_samples_per_second": 474.909,
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eval_results.json
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{
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"epoch":
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"eval_recall": 0.13460980331549635,
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"eval_runtime": 0.343,
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"eval_samples_per_second": 2000.066,
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"eval_steps_per_second": 5.831
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}
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runs/May08_04-16-29_hn-fornix-testing-gpu-platform-2/events.out.tfevents.1746677905.hn-fornix-testing-gpu-platform-2.2355931.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b39b11836efa83e9c80665900be504f2b1017d4c08366f7936379b373566367
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size 500
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test_results.json
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{
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