Model save
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- pytorch_model.bin +2 -2
- training_args.bin +2 -2
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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# Debertalarg_model_multichoice_Version2
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.8611
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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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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- lr_scheduler_warmup_ratio: 0.
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 1.0591 | 0.04 | 300 | 0.8278 |
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| 1.1284 | 0.08 | 600 | 0.8545 |
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| 1.0894 | 0.12 | 900 | 0.8821 |
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| 0.9937 | 0.16 | 1200 | 0.9260 |
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| 0.8916 | 0.2 | 1500 | 0.9562 |
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| 0.7818 | 0.24 | 1800 | 1.0041 |
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| 0.7193 | 0.28 | 2100 | 1.0704 |
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| 0.712 | 0.32 | 2400 | 1.0295 |
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| 0.6913 | 0.36 | 2700 | 1.0537 |
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| 0.4193 | 0.4 | 3000 | 1.1205 |
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| 0.4197 | 0.44 | 3300 | 1.1187 |
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| 0.3394 | 0.48 | 3600 | 1.1435 |
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| 0.2916 | 0.52 | 3900 | 1.2060 |
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| 0.1957 | 0.56 | 4200 | 1.2312 |
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| 0.2363 | 0.6 | 4500 | 1.1874 |
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| 0.1818 | 0.64 | 4800 | 1.2510 |
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| 0.1853 | 0.68 | 5100 | 1.2274 |
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| 0.1488 | 0.72 | 5400 | 1.2450 |
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| 0.1007 | 0.76 | 5700 | 1.2106 |
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| 0.1387 | 0.8 | 6000 | 1.2997 |
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| 2.1064 | 0.84 | 6300 | 0.9987 |
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| 1.5963 | 0.88 | 6600 | 0.9290 |
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| 1.5086 | 0.92 | 6900 | 0.8935 |
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| 1.56 | 0.96 | 7200 | 0.8637 |
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| 1.3432 | 1.0 | 7500 | 0.8611 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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---
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license: mit
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base_model: microsoft/deberta-v3-large
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tags:
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- generated_from_trainer
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model-index:
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# Debertalarg_model_multichoice_Version2
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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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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 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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- lr_scheduler_warmup_ratio: 0.8
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- num_epochs: 2
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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training_args.bin
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