
<!-- 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. -->

# fewshot-qa-002-20230613

This model is a fine-tuned version of [intanm/20230429-001-baseline-xlmr-qa-ft-clickbait-spoiling](https://huggingface.co/intanm/20230429-001-baseline-xlmr-qa-ft-clickbait-spoiling) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0795

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 8    | 1.7534          |
| No log        | 2.0   | 16   | 1.0488          |
| No log        | 3.0   | 24   | 0.6455          |
| No log        | 4.0   | 32   | 0.3724          |
| No log        | 5.0   | 40   | 0.2555          |
| No log        | 6.0   | 48   | 0.1813          |
| No log        | 7.0   | 56   | 0.1244          |
| No log        | 8.0   | 64   | 0.1023          |
| No log        | 9.0   | 72   | 0.0873          |
| No log        | 10.0  | 80   | 0.0795          |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "fewshot-qa-002-20230613", "results": []}]}
transformers pytorch tensorboard xlm-roberta question-answering generated_from_trainer license:cc-by-4.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #xlm-roberta #question-answering #generated_from_trainer #license-cc-by-4.0 #endpoints_compatible #region-us 

fewshot-qa-002-20230613
=======================


This model is a fine-tuned version of intanm/20230429-001-baseline-xlmr-qa-ft-clickbait-spoiling on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0795


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: 10


### Training results



### Framework versions


* Transformers 4.30.1
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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: 10 ### Training results ### Framework versions


* Transformers 4.30.1
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #xlm-roberta #question-answering #generated_from_trainer #license-cc-by-4.0 #endpoints_compatible #region-us 
 ### 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: 10 ### Training results ### Framework versions


* Transformers 4.30.1
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3