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---
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: roberta-base-CD_baseline
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-CD_baseline
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3012
- Accuracy: 0.5435
- F1: 0.5062
- Precision: 0.5113
- Recall: 0.5435
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.6077 | 1.0 | 125 | 1.6378 | 0.4130 | 0.3268 | 0.2997 | 0.4130 |
| 1.6016 | 2.0 | 250 | 1.4609 | 0.4870 | 0.4109 | 0.3904 | 0.4870 |
| 1.2479 | 3.0 | 375 | 1.4185 | 0.5043 | 0.4485 | 0.4236 | 0.5043 |
| 1.1542 | 4.0 | 500 | 1.3072 | 0.5435 | 0.5141 | 0.5397 | 0.5435 |
| 1.1302 | 5.0 | 625 | 1.3012 | 0.5435 | 0.5062 | 0.5113 | 0.5435 |
### Framework versions
- Transformers 4.38.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.15.2
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