metadata
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base_environmental_claims
results: []
roberta-base_environmental_claims
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4015
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: 8
- eval_batch_size: 8
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3333 | 1.0 | 133 | 0.4844 |
| 0.3429 | 2.0 | 266 | 0.4015 |
| 0.3122 | 3.0 | 399 | 0.6850 |
| 0.1914 | 4.0 | 532 | 0.6587 |
| 0.2417 | 5.0 | 665 | 0.5776 |
| 0.1458 | 6.0 | 798 | 0.6259 |
| 0.1755 | 7.0 | 931 | 0.6392 |
| 0.0664 | 8.0 | 1064 | 0.8447 |
| 0.0299 | 9.0 | 1197 | 0.7466 |
| 0.138 | 10.0 | 1330 | 0.6908 |
| 0.0935 | 11.0 | 1463 | 0.8548 |
| 0.0002 | 12.0 | 1596 | 0.7000 |
| 0.119 | 13.0 | 1729 | 1.2066 |
| 0.0001 | 14.0 | 1862 | 1.1844 |
| 0.0003 | 15.0 | 1995 | 0.7856 |
| 0.0001 | 16.0 | 2128 | 0.8803 |
| 0.0 | 17.0 | 2261 | 0.9005 |
| 0.0 | 18.0 | 2394 | 0.9338 |
| 0.0 | 19.0 | 2527 | 0.9946 |
| 0.1325 | 20.0 | 2660 | 0.7678 |
| 0.0001 | 21.0 | 2793 | 0.5737 |
| 0.0005 | 22.0 | 2926 | 1.0396 |
| 0.0855 | 23.0 | 3059 | 0.7681 |
| 0.0 | 24.0 | 3192 | 1.0212 |
| 0.0856 | 25.0 | 3325 | 1.0275 |
| 0.0 | 26.0 | 3458 | 0.7531 |
| 0.0 | 27.0 | 3591 | 0.7814 |
| 0.0 | 28.0 | 3724 | 0.8142 |
| 0.0 | 29.0 | 3857 | 1.4194 |
| 0.0 | 30.0 | 3990 | 1.1039 |
| 0.0 | 31.0 | 4123 | 1.2294 |
| 0.0 | 32.0 | 4256 | 1.1357 |
| 0.0 | 33.0 | 4389 | 0.9818 |
| 0.0 | 34.0 | 4522 | 0.9881 |
| 0.0 | 35.0 | 4655 | 0.9947 |
| 0.0 | 36.0 | 4788 | 1.0028 |
| 0.0 | 37.0 | 4921 | 1.0100 |
| 0.0 | 38.0 | 5054 | 1.0038 |
| 0.0 | 39.0 | 5187 | 1.0115 |
| 0.1009 | 40.0 | 5320 | 1.0044 |
| 0.0 | 41.0 | 5453 | 1.5468 |
| 0.1724 | 42.0 | 5586 | 1.0918 |
| 0.0 | 43.0 | 5719 | 1.4838 |
| 0.0 | 44.0 | 5852 | 1.3071 |
| 0.0 | 45.0 | 5985 | 1.3350 |
| 0.0 | 46.0 | 6118 | 1.3400 |
| 0.0 | 47.0 | 6251 | 1.3331 |
| 0.0 | 48.0 | 6384 | 1.3265 |
| 0.0 | 49.0 | 6517 | 1.2641 |
| 0.0 | 50.0 | 6650 | 1.2638 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1