metadata
library_name: transformers
license: mit
base_model: FacebookAI/roberta-large-mnli
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sustainability_news_roberta-large-mnli_five_epochs
results: []
sustainability_news_roberta-large-mnli_five_epochs
This model is a fine-tuned version of FacebookAI/roberta-large-mnli on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0062
- Accuracy: 1.0
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1377 | 1.0 | 8 | 0.8662 | 0.6 |
| 0.5866 | 2.0 | 16 | 0.2361 | 0.9667 |
| 0.1393 | 3.0 | 24 | 0.0370 | 1.0 |
| 0.0292 | 4.0 | 32 | 0.0106 | 1.0 |
| 0.0136 | 5.0 | 40 | 0.0062 | 1.0 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1