---
library_name: transformers
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: roberta-Validation-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current
  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-Validation-badareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current

This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1276
- Accuracy: 0.9435
- Precision: 0.0
- Recall: 0.0
- F1: 0.0

## 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: 7.297796975425318e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
| 0.3889        | 1.0   | 126  | 0.1070          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3832        | 2.0   | 252  | 0.1594          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3767        | 3.0   | 378  | 0.1043          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3708        | 4.0   | 504  | 0.1306          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3657        | 5.0   | 630  | 0.1226          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3742        | 6.0   | 756  | 0.1147          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3699        | 7.0   | 882  | 0.1543          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3668        | 8.0   | 1008 | 0.1373          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3689        | 9.0   | 1134 | 0.1273          | 0.9435   | 0.0       | 0.0    | 0.0 |
| 0.3687        | 10.0  | 1260 | 0.1276          | 0.9435   | 0.0       | 0.0    | 0.0 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0