duynhatran
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End of training
Browse files
README.md
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---
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library_name: transformers
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license: mit
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base_model: microsoft/deberta-
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: deberta_textclassification
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results: []
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# deberta_textclassification
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This model is a fine-tuned version of [microsoft/deberta-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.
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- Datasets 2.
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- Tokenizers 0.19.1
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---
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library_name: transformers
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license: mit
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base_model: microsoft/deberta-base
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tags:
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- generated_from_trainer
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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: deberta_textclassification
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results: []
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# deberta_textclassification
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This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5291
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- Accuracy: 0.9043
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- F1: 0.9320
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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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| 0.4082 | 1.0 | 760 | 0.3256 | 0.8720 | 0.9050 |
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| 0.2193 | 2.0 | 1520 | 0.2805 | 0.8967 | 0.9259 |
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| 0.1571 | 3.0 | 2280 | 0.3280 | 0.9089 | 0.9357 |
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| 0.0947 | 4.0 | 3040 | 0.4283 | 0.9112 | 0.9368 |
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| 0.0489 | 5.0 | 3800 | 0.5291 | 0.9043 | 0.9320 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 2.4.0
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- Tokenizers 0.19.1
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runs/Sep23_16-29-48_a16eb3d641a3/events.out.tfevents.1727109707.a16eb3d641a3.49815.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c0fc80d2530c8cee833bf566966f508e08a28a75398346bcbf6663a82d65067
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size 8725
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tokenizer.json
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vocab.json
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