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# perc_poem_baseline

This model is a fine-tuned version of [ismaelfaro/gpt2-poems.en](https://huggingface.co/ismaelfaro/gpt2-poems.en) on the PERC dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9662
- Accuracy: 0.2925

## Model description

A finetuned GPT2 on the PERC data (https://data.mendeley.com/datasets/n9vbc8g9cx/1)

## Intended uses & limitations

For UCL COMP0087 SNLP poem generation baseline model

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 19019509
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0

### Training results



### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
{"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["COMP0087-GROUP8-22-23/PERC"], "metrics": ["accuracy"], "pipeline_tag": "text-generation", "model-index": [{"name": "perc_poem_baseline", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer en dataset:COMP0087-GROUP8-22-23/PERC license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #en #dataset-COMP0087-GROUP8-22-23/PERC #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# perc_poem_baseline

This model is a fine-tuned version of ismaelfaro/URL on the PERC dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9662
- Accuracy: 0.2925

## Model description

A finetuned GPT2 on the PERC data (URL

## Intended uses & limitations

For UCL COMP0087 SNLP poem generation baseline model

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 19019509
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0

### Training results



### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
# perc_poem_baseline

This model is a fine-tuned version of ismaelfaro/URL on the PERC dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9662
- Accuracy: 0.2925 ## Model description

A finetuned GPT2 on the PERC data (URL ## Intended uses & limitations

For UCL COMP0087 SNLP poem generation baseline model ## Training and evaluation data

More information needed ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 19019509
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0 ### Training results ### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #en #dataset-COMP0087-GROUP8-22-23/PERC #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # perc_poem_baseline

This model is a fine-tuned version of ismaelfaro/URL on the PERC dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9662
- Accuracy: 0.2925 ## Model description

A finetuned GPT2 on the PERC data (URL ## Intended uses & limitations

For UCL COMP0087 SNLP poem generation baseline model ## Training and evaluation data

More information needed ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 19019509
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0 ### Training results ### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #en #dataset-COMP0087-GROUP8-22-23/PERC #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# perc_poem_baseline

This model is a fine-tuned version of ismaelfaro/URL on the PERC dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9662
- Accuracy: 0.2925## Model description

A finetuned GPT2 on the PERC data (URL## Intended uses & limitations

For UCL COMP0087 SNLP poem generation baseline model## Training and evaluation data

More information needed## Training procedure### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 19019509
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0### Training results### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2