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---
license: mit
base_model: DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-hi-5-epochs
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. -->
# xlm-roberta-base-finetuned-panx-hi-5-epochs
This model is a fine-tuned version of [DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs](https://huggingface.co/DeepaPeri/xlm-roberta-base-finetuned-panx-hi-5-epochs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2936
- F1: 0.8848
## 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: 24
- eval_batch_size: 24
- 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 | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.168 | 1.0 | 168 | 0.3044 | 0.8586 |
| 0.1187 | 2.0 | 336 | 0.2836 | 0.8640 |
| 0.0848 | 3.0 | 504 | 0.2728 | 0.8800 |
| 0.0528 | 4.0 | 672 | 0.2969 | 0.8959 |
| 0.0308 | 5.0 | 840 | 0.2936 | 0.8848 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
|