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# tiny-nfl

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the bittensor tiny.json dataset.
It achieves the following results on the evaluation set:
- Loss: 6.4602
- Accuracy: 0.1556

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["bittensor"], "metrics": ["accuracy"], "model-index": [{"name": "tiny-nfl", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "bittensor tiny.json", "type": "bittensor", "args": "tiny.json"}, "metrics": [{"type": "accuracy", "value": 0.15555555555555556, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-generation generated_from_trainer dataset:bittensor license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #dataset-bittensor #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# tiny-nfl

This model is a fine-tuned version of distilgpt2 on the bittensor URL dataset.
It achieves the following results on the evaluation set:
- Loss: 6.4602
- Accuracy: 0.1556

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1

# tiny-nfl

This model is a fine-tuned version of distilgpt2 on the bittensor URL dataset.
It achieves the following results on the evaluation set:
- Loss: 6.4602
- Accuracy: 0.1556 ## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Training results ### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #dataset-bittensor #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # tiny-nfl

This model is a fine-tuned version of distilgpt2 on the bittensor URL dataset.
It achieves the following results on the evaluation set:
- Loss: 6.4602
- Accuracy: 0.1556 ## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Training results ### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #dataset-bittensor #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# tiny-nfl

This model is a fine-tuned version of distilgpt2 on the bittensor URL dataset.
It achieves the following results on the evaluation set:
- Loss: 6.4602
- Accuracy: 0.1556## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0### Training results### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.3.dev0
- Tokenizers 0.12.1