MRR-Latest-28-7
This model is a fine-tuned version of mrm8488/longformer-base-4096-finetuned-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2367
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9726 | 1.0 | 1260 | 0.8897 |
| 0.7982 | 2.0 | 2520 | 1.0177 |
| 0.6725 | 3.0 | 3780 | 1.0727 |
| 0.598 | 4.0 | 5040 | 0.8103 |
| 0.6103 | 5.0 | 6300 | 0.9380 |
| 0.5814 | 6.0 | 7560 | 0.8953 |
| 0.4875 | 7.0 | 8820 | 0.9270 |
| 0.4825 | 8.0 | 10080 | 1.0449 |
| 0.4625 | 9.0 | 11340 | 1.1749 |
| 0.3471 | 10.0 | 12600 | 1.2367 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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