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# gptQuotes

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an Abirate's English Quotes dataset.


## Intended uses & limitations

Generating quotes with AI

## Online demo

A demo of this AI is availible in a [Huggingface Space](https://huggingface.co/spaces/sr5434/QuoteGeneration). Do not use the version attached to this model, as it doesn't work.

## Sample code
```
from transformers import pipeline
ai = pipeline('text-generation',model='sr5434/gptQuotes', tokenizer='facebook/opt-350m', device=-1)#,config={'max_length':45})
while True:
  result = ai(input("Prompt>>>"))[0]['generated_text']
  print(result)
```

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
{"language": ["en"], "license": "mit", "tags": ["generated_from_trainer", "opt"], "datasets": ["Abirate/english_quotes"], "pipeline_tag": "text-generation", "model-index": [{"name": "gptQuotes", "results": []}]}
transformers pytorch tensorboard safetensors opt text-generation generated_from_trainer en dataset:Abirate/english_quotes doi:10.57967/hf/0422 license:mit autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #opt #text-generation #generated_from_trainer #en #dataset-Abirate/english_quotes #doi-10.57967/hf/0422 #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 




# gptQuotes

This model is a fine-tuned version of facebook/opt-350m on an Abirate's English Quotes dataset.


## Intended uses & limitations

Generating quotes with AI

## Online demo

A demo of this AI is availible in a Huggingface Space. Do not use the version attached to this model, as it doesn't work.

## Sample code


## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
# gptQuotes

This model is a fine-tuned version of facebook/opt-350m on an Abirate's English Quotes dataset. ## Intended uses & limitations

Generating quotes with AI ## Online demo

A demo of this AI is availible in a Huggingface Space. Do not use the version attached to this model, as it doesn't work. ## Sample code ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15 ### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #safetensors #opt #text-generation #generated_from_trainer #en #dataset-Abirate/english_quotes #doi-10.57967/hf/0422 #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # gptQuotes

This model is a fine-tuned version of facebook/opt-350m on an Abirate's English Quotes dataset. ## Intended uses & limitations

Generating quotes with AI ## Online demo

A demo of this AI is availible in a Huggingface Space. Do not use the version attached to this model, as it doesn't work. ## Sample code ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15 ### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #safetensors #opt #text-generation #generated_from_trainer #en #dataset-Abirate/english_quotes #doi-10.57967/hf/0422 #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
# gptQuotes

This model is a fine-tuned version of facebook/opt-350m on an Abirate's English Quotes dataset.## Intended uses & limitations

Generating quotes with AI## Online demo

A demo of this AI is availible in a Huggingface Space. Do not use the version attached to this model, as it doesn't work.## Sample code## Training procedure### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2