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