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---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- simplification
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: social-behavior-emotions
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. -->
# social-behavior-emotions
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3206
- Precision: 0.9284
- Recall: 0.9206
- F1: 0.9224
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 1.0252 | 1.0 | 800 | 0.4645 | 0.8877 | 0.8781 | 0.8798 |
| 0.4162 | 2.0 | 1600 | 0.3308 | 0.9140 | 0.9025 | 0.9038 |
| 0.2769 | 3.0 | 2400 | 0.2693 | 0.9234 | 0.9113 | 0.9138 |
| 0.2056 | 4.0 | 3200 | 0.3343 | 0.9250 | 0.9163 | 0.9179 |
| 0.1383 | 5.0 | 4000 | 0.3206 | 0.9284 | 0.9206 | 0.9224 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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