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--- |
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license: mit |
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base_model: microsoft/deberta-v3-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: deberta-v3-base-rotten-tomatoes-hp2 |
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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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# deberta-v3-base-rotten-tomatoes-hp2 |
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co./microsoft/deberta-v3-base) on the [rotten_tomatoes](https://huggingface.co./datasets/rotten_tomatoes) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2619 |
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- F1: 0.9184 |
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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: 7.5e-06 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 267 | 0.2430 | 0.9146 | |
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| 0.3091 | 2.0 | 534 | 0.2499 | 0.9156 | |
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| 0.3091 | 3.0 | 801 | 0.2829 | 0.9174 | |
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| 0.1496 | 4.0 | 1068 | 0.2742 | 0.9137 | |
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| 0.1496 | 5.0 | 1335 | 0.3845 | 0.9099 | |
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| 0.0864 | 6.0 | 1602 | 0.4254 | 0.9024 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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