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---
library_name: peft
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: emotion-model11_2
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. -->
# emotion-model11_2
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0629
- Accuracy: 0.5583
- F1: 0.4935
## 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: 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log | 1.0 | 41 | 1.3051 | 0.4356 | 0.2643 |
| 1.3528 | 2.0 | 82 | 1.2167 | 0.4540 | 0.3105 |
| 1.277 | 3.0 | 123 | 1.1665 | 0.4908 | 0.4415 |
| 1.1653 | 4.0 | 164 | 1.0812 | 0.5276 | 0.4454 |
| 1.1339 | 5.0 | 205 | 1.1394 | 0.5092 | 0.4484 |
| 1.1339 | 6.0 | 246 | 1.1019 | 0.5153 | 0.4553 |
| 1.1081 | 7.0 | 287 | 1.0528 | 0.5399 | 0.4727 |
| 1.0794 | 8.0 | 328 | 1.0629 | 0.5583 | 0.4935 |
| 1.0727 | 9.0 | 369 | 1.0426 | 0.5399 | 0.4737 |
| 1.0608 | 10.0 | 410 | 1.0567 | 0.5399 | 0.4856 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1 |