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# xlm-roberta-base-finetuned-TQuad2

This model is a fine-tuned version of [IProject-10/xlm-roberta-base-finetuned-squad2](https://huggingface.co/IProject-10/xlm-roberta-base-finetuned-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3530

## 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: 2e-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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0578        | 1.0   | 889  | 1.2268          |
| 0.7147        | 2.0   | 1778 | 1.2469          |
| 0.5565        | 3.0   | 2667 | 1.3530          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "IProject-10/xlm-roberta-base-finetuned-squad2", "model-index": [{"name": "xlm-roberta-base-finetuned-TQuad2", "results": []}]}
transformers tensorboard safetensors xlm-roberta question-answering generated_from_trainer base_model:IProject-10/xlm-roberta-base-finetuned-squad2 license:mit endpoints_compatible has_space region:us