
# bert-base-uncased-ag-news

## Model description

`bert-base-uncased` finetuned on the AG News dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 4 T4 GPUs, 4 epochs. [The code can be found here](https://github.com/nateraw/hf-text-classification)

#### Limitations and bias

- Not the best model...

## Training data

Data came from HuggingFace's `datasets` package. The data can be viewed [on nlp viewer](https://huggingface.co/nlp/viewer/?dataset=ag_news).


## Training procedure

...

## Eval results

...
{"language": ["en"], "license": "mit", "tags": ["text-classification", "ag_news", "pytorch"], "datasets": ["ag_news"], "metrics": ["accuracy"], "thumbnail": "https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4"}
transformers pytorch jax bert text-classification ag_news en dataset:ag_news license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #jax #bert #text-classification #ag_news #en #dataset-ag_news #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 


# bert-base-uncased-ag-news

## Model description

'bert-base-uncased' finetuned on the AG News dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 4 T4 GPUs, 4 epochs. The code can be found here

#### Limitations and bias

- Not the best model...

## Training data

Data came from HuggingFace's 'datasets' package. The data can be viewed on nlp viewer.


## Training procedure

...

## Eval results

...
# bert-base-uncased-ag-news ## Model description

'bert-base-uncased' finetuned on the AG News dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 4 T4 GPUs, 4 epochs. The code can be found here #### Limitations and bias

- Not the best model... ## Training data

Data came from HuggingFace's 'datasets' package. The data can be viewed on nlp viewer. ## Training procedure

... ## Eval results

...
TAGS
#transformers #pytorch #jax #bert #text-classification #ag_news #en #dataset-ag_news #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # bert-base-uncased-ag-news ## Model description

'bert-base-uncased' finetuned on the AG News dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 4 T4 GPUs, 4 epochs. The code can be found here #### Limitations and bias

- Not the best model... ## Training data

Data came from HuggingFace's 'datasets' package. The data can be viewed on nlp viewer. ## Training procedure

... ## Eval results

...
passage: TAGS
#transformers #pytorch #jax #bert #text-classification #ag_news #en #dataset-ag_news #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# bert-base-uncased-ag-news## Model description

'bert-base-uncased' finetuned on the AG News dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 4 T4 GPUs, 4 epochs. The code can be found here#### Limitations and bias

- Not the best model...## Training data

Data came from HuggingFace's 'datasets' package. The data can be viewed on nlp viewer.## Training procedure

...## Eval results

...