<!-- 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. -->
disaster-tweet-0
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4198
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7562 | 0.12 | 12 | 0.7480 |
| 0.7547 | 0.25 | 24 | 0.7413 |
| 0.725 | 0.38 | 36 | 0.7311 |
| 0.7305 | 0.5 | 48 | 0.7187 |
| 0.7097 | 0.62 | 60 | 0.7043 |
| 0.7 | 0.75 | 72 | 0.6884 |
| 0.6899 | 0.88 | 84 | 0.6723 |
| 0.6672 | 1.0 | 96 | 0.6553 |
| 0.6469 | 1.12 | 108 | 0.6367 |
| 0.6317 | 1.25 | 120 | 0.6152 |
| 0.6254 | 1.38 | 132 | 0.5944 |
| 0.5914 | 1.5 | 144 | 0.5710 |
| 0.5681 | 1.62 | 156 | 0.5484 |
| 0.5389 | 1.75 | 168 | 0.5230 |
| 0.5215 | 1.88 | 180 | 0.5030 |
| 0.4841 | 2.0 | 192 | 0.4896 |
| 0.4428 | 2.12 | 204 | 0.4790 |
| 0.4645 | 2.25 | 216 | 0.4636 |
| 0.4668 | 2.38 | 228 | 0.4520 |
| 0.4254 | 2.5 | 240 | 0.4419 |
| 0.4374 | 2.62 | 252 | 0.4341 |
| 0.4091 | 2.75 | 264 | 0.4295 |
| 0.4454 | 2.88 | 276 | 0.4309 |
| 0.3768 | 3.0 | 288 | 0.4198 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
