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weight_DeBERTa_2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5318
- Map@3: 0.6808
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-06
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.8
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Map@3 |
|---|---|---|---|---|
| 1.6071 | 0.4 | 25 | 1.6055 | 0.5392 |
| 1.6128 | 0.8 | 50 | 1.6035 | 0.5483 |
| 1.6097 | 1.2 | 75 | 1.6027 | 0.605 |
| 1.607 | 1.6 | 100 | 1.5955 | 0.6192 |
| 1.6015 | 2.0 | 125 | 1.5905 | 0.6075 |
| 1.5873 | 2.4 | 150 | 1.5587 | 0.6658 |
| 1.5906 | 2.8 | 175 | 1.5318 | 0.6808 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
