mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.1
This model is a fine-tuned version of asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0 on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
| Datasets | asadfgglie/nli-zh-tw-all/test | asadfgglie/BanBan_2024-10-17-facial_expressions-nli | eval_dataset |
|---|---|---|---|
| Accuracy | 0.868 | 0.953 | 0.871 |
| Inference text/sec (RTX4090ti, batch=128) | 126.0 | 829.0 | 125.0 |
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 128
- seed: 45
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 3
Framework versions
- Transformers 4.33.3
- Pytorch 2.5.1+cu121
- Datasets 2.14.7
- Tokenizers 0.13.3
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