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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: deberta-v3-large-harmfulness |
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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-large-harmfulness |
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1439 |
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- Mse: 1.1439 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mse | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 2.1055 | 0.06 | 50 | 1.7626 | 1.7626 | |
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| 1.6818 | 0.12 | 100 | 1.4659 | 1.4659 | |
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| 1.4062 | 0.18 | 150 | 1.6323 | 1.6323 | |
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| 1.4777 | 0.24 | 200 | 1.3776 | 1.3776 | |
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| 1.4106 | 0.3 | 250 | 1.3044 | 1.3044 | |
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| 1.2702 | 0.37 | 300 | 1.3792 | 1.3792 | |
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| 1.4448 | 0.43 | 350 | 1.3048 | 1.3048 | |
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| 1.3582 | 0.49 | 400 | 1.2485 | 1.2485 | |
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| 1.2357 | 0.55 | 450 | 1.3709 | 1.3709 | |
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| 1.1075 | 0.61 | 500 | 1.2538 | 1.2538 | |
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| 1.2406 | 0.67 | 550 | 1.1996 | 1.1996 | |
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| 1.2309 | 0.73 | 600 | 1.2671 | 1.2671 | |
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| 1.194 | 0.79 | 650 | 1.4326 | 1.4326 | |
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| 1.2135 | 0.85 | 700 | 1.1763 | 1.1763 | |
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| 1.2196 | 0.91 | 750 | 1.1439 | 1.1439 | |
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| 1.1983 | 0.97 | 800 | 1.1711 | 1.1711 | |
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### Framework versions |
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- Transformers 4.30.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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