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tapt_helpfulness_unipelt_pretraining_model_fix_train
ltuzova/tapt_helpfulness_unipelt_pretraining_model_fix_train
tapt_helpfulness_unipelt_pretraining_model_fix_train is a machine learning model from ltuzova. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Updated Apr 20, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Apr 20, 2024
- Updated
- Apr 20, 2024
- SHA
- 7eda2b91
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
tapt_helpfulness_unipelt_pretraining_model_fix_train
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4789
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7536 | 1.0 | 1068 | 1.8161 |
| 1.855 | 2.0 | 2137 | 1.6743 |
| 1.7578 | 3.0 | 3205 | 1.6134 |
| 1.7056 | 4.0 | 4274 | 1.5780 |
| 1.6755 | 5.0 | 5342 | 1.5660 |
| 1.6508 | 6.0 | 6411 | 1.5507 |
| 1.6402 | 7.0 | 7479 | 1.5236 |
| 1.6226 | 8.0 | 8548 | 1.5272 |
| 1.6145 | 9.0 | 9616 | 1.4970 |
| 1.6034 | 10.0 | 10685 | 1.4999 |
| 1.6004 | 11.0 | 11753 | 1.5120 |
| 1.5916 | 12.0 | 12822 | 1.4882 |
| 1.5888 | 13.0 | 13890 | 1.4974 |
| 1.5801 | 14.0 | 14959 | 1.4703 |
| 1.5784 | 15.0 | 16027 | 1.4767 |
| 1.5738 | 16.0 | 17096 | 1.4668 |
| 1.5717 | 17.0 | 18164 | 1.4776 |
| 1.5696 | 18.0 | 19233 | 1.4691 |
| 1.5681 | 19.0 | 20301 | 1.4756 |
| 1.5658 | 19.99 | 21360 | 1.4789 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- License
- mit
- Created
- Apr 20, 2024
- Updated
- Apr 20, 2024