dapt_plus_tapt_helpfulness_base_pretraining_model
This model is a fine-tuned version of BigTMiami/amazon_pretraining_5M_model_corrected on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4446
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: 0.0001
- train_batch_size: 21
- eval_batch_size: 21
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6784 | 1.0 | 232 | 1.5304 |
| 1.6014 | 2.0 | 465 | 1.5186 |
| 1.5847 | 3.0 | 697 | 1.5100 |
| 1.5492 | 4.0 | 930 | 1.4959 |
| 1.5369 | 5.0 | 1162 | 1.5022 |
| 1.5086 | 6.0 | 1395 | 1.4919 |
| 1.4953 | 7.0 | 1627 | 1.4770 |
| 1.4729 | 8.0 | 1860 | 1.4840 |
| 1.4612 | 9.0 | 2092 | 1.4719 |
| 1.4502 | 10.0 | 2325 | 1.4595 |
| 1.436 | 11.0 | 2557 | 1.4670 |
| 1.4178 | 12.0 | 2790 | 1.4709 |
| 1.4055 | 13.0 | 3022 | 1.4514 |
| 1.3951 | 14.0 | 3255 | 1.4595 |
| 1.3848 | 15.0 | 3487 | 1.4585 |
| 1.3678 | 16.0 | 3720 | 1.4752 |
| 1.3659 | 17.0 | 3952 | 1.4636 |
| 1.3523 | 18.0 | 4185 | 1.4515 |
| 1.3443 | 19.0 | 4417 | 1.4609 |
| 1.3285 | 20.0 | 4650 | 1.4590 |
| 1.3283 | 21.0 | 4882 | 1.4595 |
| 1.3109 | 22.0 | 5115 | 1.4490 |
| 1.3111 | 23.0 | 5347 | 1.4457 |
| 1.2964 | 24.0 | 5580 | 1.4543 |
| 1.2945 | 25.0 | 5812 | 1.4500 |
| 1.2792 | 26.0 | 6045 | 1.4537 |
| 1.2741 | 27.0 | 6277 | 1.4428 |
| 1.2603 | 28.0 | 6510 | 1.4508 |
| 1.2609 | 29.0 | 6742 | 1.4473 |
| 1.246 | 30.0 | 6975 | 1.4458 |
| 1.2436 | 31.0 | 7207 | 1.4473 |
| 1.2324 | 32.0 | 7440 | 1.4384 |
| 1.2282 | 33.0 | 7672 | 1.4368 |
| 1.2164 | 34.0 | 7905 | 1.4466 |
| 1.2146 | 35.0 | 8137 | 1.4460 |
| 1.2022 | 36.0 | 8370 | 1.4520 |
| 1.1991 | 37.0 | 8602 | 1.4509 |
| 1.191 | 38.0 | 8835 | 1.4412 |
| 1.1909 | 39.0 | 9067 | 1.4449 |
| 1.1777 | 40.0 | 9300 | 1.4521 |
| 1.1762 | 41.0 | 9532 | 1.4582 |
| 1.166 | 42.0 | 9765 | 1.4403 |
| 1.1618 | 43.0 | 9997 | 1.4484 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2