---
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base_environmental_claims
  results: []
---

<!-- 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. -->

# roberta-base_environmental_claims

This model is a fine-tuned version of [roberta-base](https://huggingface.co/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