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base_model: tarudesu/ViHateT5-base
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tags:
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- generated_from_trainer
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model-index:
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- name:
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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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# fine-tuned-ViHateT5-base-from-scratch-20-NEW
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This model is a fine-tuned version of [tarudesu/ViHateT5-base-from-scratch-20-02](https://huggingface.co/tarudesu/ViHateT5-base-from-scratch-20-02) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1363
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- F1 Macro: 31.6377
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- Gen Len: 4.7985
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
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| 0.5369 | 1.0 | 1247 | 0.2050 | 27.6473 | 4.8063 |
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| 0.2465 | 2.0 | 2494 | 0.1492 | 30.0803 | 4.7918 |
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| 0.1505 | 3.0 | 3741 | 0.1437 | 30.3017 | 4.7982 |
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| 0.0862 | 4.0 | 4988 | 0.1363 | 31.6377 | 4.7985 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.13.3
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---
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base_model: tarudesu/ViHateT5-base
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tags:
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- generated_from_trainer
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model-index:
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- name: ViHateT5-base-HSD
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results: []
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datasets:
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- tarudesu/ViCTSD
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- tarudesu/ViHOS
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- tarudesu/ViHSD
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language:
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- vi
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metrics:
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- f1
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- accuracy
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pipeline_tag: text2text-generation
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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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