transformers tensorboard safetensors xlm-roberta token-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base base_model:finetune:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us
---
base_model: xlm-roberta-base
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-pharmaconer
  results: []
---

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# xlm-roberta-base-pharmaconer

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: 0.0658
- F1 Score: 1.0

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1115        | 1.0   | 1017 | 0.0752          | 1.0      |
| 0.0525        | 2.0   | 2034 | 0.0577          | 1.0      |
| 0.0281        | 3.0   | 3051 | 0.0548          | 1.0      |
| 0.0163        | 4.0   | 4068 | 0.0602          | 1.0      |
| 0.0103        | 5.0   | 5085 | 0.0658          | 1.0      |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
