metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: tapt_helpfulness_seq_bn_pretraining_model_full_train
results: []
tapt_helpfulness_seq_bn_pretraining_model_full_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: 1.4917
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 |
|---|---|---|---|
| 2.746 | 1.0 | 1068 | 1.8309 |
| 1.8701 | 2.0 | 2137 | 1.6877 |
| 1.7711 | 3.0 | 3205 | 1.6275 |
| 1.7178 | 4.0 | 4274 | 1.5909 |
| 1.6876 | 5.0 | 5342 | 1.5788 |
| 1.6638 | 6.0 | 6411 | 1.5636 |
| 1.6526 | 7.0 | 7479 | 1.5344 |
| 1.6357 | 8.0 | 8548 | 1.5402 |
| 1.626 | 9.0 | 9616 | 1.5097 |
| 1.6144 | 10.0 | 10685 | 1.5111 |
| 1.611 | 11.0 | 11753 | 1.5248 |
| 1.603 | 12.0 | 12822 | 1.4989 |
| 1.6003 | 13.0 | 13890 | 1.5071 |
| 1.5915 | 14.0 | 14959 | 1.4807 |
| 1.5893 | 15.0 | 16027 | 1.4892 |
| 1.5857 | 16.0 | 17096 | 1.4794 |
| 1.5839 | 17.0 | 18164 | 1.4893 |
| 1.5806 | 18.0 | 19233 | 1.4787 |
| 1.5808 | 19.0 | 20301 | 1.4872 |
| 1.5781 | 19.99 | 21360 | 1.4917 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2