MT_Complaint
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4773
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4907 | 1.0 | 151 | 0.3250 |
| 0.2887 | 2.0 | 302 | 0.2513 |
| 0.2371 | 3.0 | 453 | 0.2255 |
| 0.1945 | 4.0 | 604 | 0.2192 |
| 0.1683 | 5.0 | 755 | 0.2119 |
| 0.1461 | 6.0 | 906 | 0.2207 |
| 0.1143 | 7.0 | 1057 | 0.2182 |
| 0.1011 | 8.0 | 1208 | 0.2421 |
| 0.0818 | 9.0 | 1359 | 0.2476 |
| 0.0799 | 10.0 | 1510 | 0.2660 |
| 0.0757 | 11.0 | 1661 | 0.2661 |
| 0.0619 | 12.0 | 1812 | 0.2687 |
| 0.0517 | 13.0 | 1963 | 0.2939 |
| 0.0468 | 14.0 | 2114 | 0.3191 |
| 0.0352 | 15.0 | 2265 | 0.3343 |
| 0.0382 | 16.0 | 2416 | 0.3369 |
| 0.022 | 17.0 | 2567 | 0.3442 |
| 0.017 | 18.0 | 2718 | 0.3532 |
| 0.0286 | 19.0 | 2869 | 0.3594 |
| 0.0178 | 20.0 | 3020 | 0.3793 |
| 0.017 | 21.0 | 3171 | 0.3976 |
| 0.0127 | 22.0 | 3322 | 0.4029 |
| 0.0136 | 23.0 | 3473 | 0.4038 |
| 0.0124 | 24.0 | 3624 | 0.4045 |
| 0.0089 | 25.0 | 3775 | 0.3999 |
| 0.0108 | 26.0 | 3926 | 0.4103 |
| 0.0141 | 27.0 | 4077 | 0.4106 |
| 0.0126 | 28.0 | 4228 | 0.4197 |
| 0.0071 | 29.0 | 4379 | 0.4409 |
| 0.0046 | 30.0 | 4530 | 0.4240 |
| 0.0075 | 31.0 | 4681 | 0.4384 |
| 0.0061 | 32.0 | 4832 | 0.4313 |
| 0.0093 | 33.0 | 4983 | 0.4534 |
| 0.0066 | 34.0 | 5134 | 0.4499 |
| 0.0028 | 35.0 | 5285 | 0.4574 |
| 0.0034 | 36.0 | 5436 | 0.4615 |
| 0.0031 | 37.0 | 5587 | 0.4636 |
| 0.0047 | 38.0 | 5738 | 0.4728 |
| 0.0021 | 39.0 | 5889 | 0.4639 |
| 0.0027 | 40.0 | 6040 | 0.4658 |
| 0.0035 | 41.0 | 6191 | 0.4755 |
| 0.0032 | 42.0 | 6342 | 0.4589 |
| 0.0027 | 43.0 | 6493 | 0.4628 |
| 0.0018 | 44.0 | 6644 | 0.4762 |
| 0.0017 | 45.0 | 6795 | 0.4697 |
| 0.0012 | 46.0 | 6946 | 0.4762 |
| 0.0022 | 47.0 | 7097 | 0.4830 |
| 0.0013 | 48.0 | 7248 | 0.4765 |
| 0.0013 | 49.0 | 7399 | 0.4759 |
| 0.0014 | 50.0 | 7550 | 0.4773 |
Framework versions
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1