roberta-base_PrefixTuning_lr0.0005_bs4_epoch20_wd0.01
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9612
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 16.1454 | 1.0 | 157 | 20.9147 |
| 14.0712 | 2.0 | 314 | 19.1650 |
| 11.1417 | 3.0 | 471 | 9.2979 |
| 6.9892 | 4.0 | 628 | 6.3310 |
| 6.4327 | 5.0 | 785 | 5.8392 |
| 5.9068 | 6.0 | 942 | 5.5211 |
| 5.7042 | 7.0 | 1099 | 5.2767 |
| 5.399 | 8.0 | 1256 | 5.0556 |
| 5.117 | 9.0 | 1413 | 4.8469 |
| 5.0361 | 10.0 | 1570 | 4.6365 |
| 4.8558 | 11.0 | 1727 | 4.4569 |
| 4.6969 | 12.0 | 1884 | 4.3400 |
| 4.5535 | 13.0 | 2041 | 4.2330 |
| 4.522 | 14.0 | 2198 | 4.1549 |
| 4.3703 | 15.0 | 2355 | 4.1031 |
| 4.305 | 16.0 | 2512 | 4.0450 |
| 4.3117 | 17.0 | 2669 | 4.0057 |
| 4.2937 | 18.0 | 2826 | 3.9820 |
| 4.2778 | 19.0 | 2983 | 3.9654 |
| 4.2304 | 20.0 | 3140 | 3.9612 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for jysssacc/roberta-base_PrefixTuning_lr0.0005_bs4_epoch20_wd0.01
Base model
FacebookAI/roberta-base