---
license: mit
base_model: am-infoweb/QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_FNETUNE_1.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_FNETUNE_1.0

This model is a fine-tuned version of [am-infoweb/QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_roberta-base](https://huggingface.co/am-infoweb/QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 188  | 0.0000          |
| No log        | 2.0   | 376  | 0.0000          |
| 0.2453        | 3.0   | 564  | 0.0000          |
| 0.2453        | 4.0   | 752  | 0.0000          |
| 0.2453        | 5.0   | 940  | 0.0000          |
| 0.0002        | 6.0   | 1128 | 0.0000          |
| 0.0002        | 7.0   | 1316 | 0.0000          |
| 0.0           | 8.0   | 1504 | 0.0000          |
| 0.0           | 9.0   | 1692 | 0.0000          |
| 0.0           | 10.0  | 1880 | 0.0000          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3