Initial Commit
Browse files- README.md +48 -8
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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- generated_from_trainer
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datasets:
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- indolem_sentiment
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model-index:
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- name: scenario-normal-finetune-clf-data-indolem_sentiment-model-xlm-roberta-base
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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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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the indolem_sentiment dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- generated_from_trainer
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datasets:
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- indolem_sentiment
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metrics:
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- accuracy
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- f1
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model-index:
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- name: scenario-normal-finetune-clf-data-indolem_sentiment-model-xlm-roberta-base
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: indolem_sentiment
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type: indolem_sentiment
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config: indolem_sentiment_nusantara_text
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split: validation
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args: indolem_sentiment_nusantara_text
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9147869674185464
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- name: F1
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type: f1
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value: 0.8629032258064516
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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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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the indolem_sentiment dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5769
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- Accuracy: 0.9148
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- F1: 0.8629
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 0.44 | 200 | 0.4983 | 0.7068 | 0.0 |
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| No log | 0.88 | 400 | 0.4663 | 0.7995 | 0.7059 |
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| 0.5119 | 1.32 | 600 | 0.4746 | 0.8722 | 0.7792 |
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| 0.5119 | 1.76 | 800 | 0.4463 | 0.8797 | 0.7949 |
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| 0.3523 | 2.2 | 1000 | 0.5374 | 0.8772 | 0.7984 |
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| 0.3523 | 2.64 | 1200 | 0.4591 | 0.8897 | 0.8087 |
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| 0.3523 | 3.08 | 1400 | 0.4909 | 0.8872 | 0.8148 |
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| 0.2978 | 3.52 | 1600 | 0.5236 | 0.8872 | 0.8263 |
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| 0.2978 | 3.96 | 1800 | 0.4410 | 0.9148 | 0.8559 |
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| 0.2623 | 4.4 | 2000 | 0.4655 | 0.8997 | 0.8347 |
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| 0.2623 | 4.84 | 2200 | 0.6111 | 0.8772 | 0.8231 |
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| 0.2623 | 5.27 | 2400 | 0.4194 | 0.9198 | 0.8667 |
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| 0.1863 | 5.71 | 2600 | 0.5278 | 0.8972 | 0.8392 |
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| 0.1863 | 6.15 | 2800 | 0.4805 | 0.9173 | 0.8559 |
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| 0.1332 | 6.59 | 3000 | 0.5610 | 0.9098 | 0.8548 |
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| 0.1332 | 7.03 | 3200 | 0.4435 | 0.9248 | 0.875 |
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| 0.1332 | 7.47 | 3400 | 0.5367 | 0.9148 | 0.8651 |
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| 0.1143 | 7.91 | 3600 | 0.5159 | 0.9148 | 0.8618 |
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| 0.1143 | 8.35 | 3800 | 0.5945 | 0.9098 | 0.8487 |
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| 0.0836 | 8.79 | 4000 | 0.7401 | 0.8947 | 0.8421 |
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| 0.0836 | 9.23 | 4200 | 0.5591 | 0.9148 | 0.8618 |
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| 0.0836 | 9.67 | 4400 | 0.6025 | 0.9123 | 0.8511 |
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| 0.0899 | 10.11 | 4600 | 0.5769 | 0.9148 | 0.8629 |
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### Framework versions
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pytorch_model.bin
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training_args.bin
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