Finetuning experiments
Collection
Using common-known datasets to finetune several models. Experiments are run in Colab.
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6 items
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Updated
finetuned-DebertaV3-eli5-askscience-TextGeneration
This model is a fine-tuned version of microsoft/deberta-v3-base on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 2.7192
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9211 | 1.0 | 1049 | 3.5396 |
| 2.8329 | 2.0 | 2098 | 3.0325 |
| 3.3087 | 3.0 | 3147 | 2.8686 |
| 3.1624 | 4.0 | 4196 | 2.7708 |
| 2.4202 | 5.0 | 5245 | 2.7318 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for JinbiaoZhu/finetuned-DebertaV3-eli5-askscience-FillingMask
Base model
microsoft/deberta-v3-base