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zh-finetuned-squad-qa-minilmv2-32
This model is a fine-tuned version of subhasisj/zh-TAPT-MLM-MiniLM on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4311
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 338 | 2.3706 |
3.1254 | 2.0 | 676 | 1.7422 |
1.6449 | 3.0 | 1014 | 1.5323 |
1.6449 | 4.0 | 1352 | 1.4375 |
1.3122 | 5.0 | 1690 | 1.4311 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.0
- Tokenizers 0.12.1