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# pythia-70m-deduped-aid

![Example](https://cdn.discordapp.com/attachments/1042160561808482304/1070125215910211705/Screenshot_2023-01-31_at_15-34-45_KoboldAI_Client__mnt_mnt1_library-of-alexandria_ai-models_text-generation_my-models_pythia-70m-deduped-aid.png)

## Model description

This model is a finetune of [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) (from when it was instead `pythia-19m-deduped`), on the [`text_adventures.txt`](https://github.com/Latitude-Archives/AIDungeon/blob/ca098ca7dab480d24e47954c8873b03ba1091ffc/data/text_adventures.txt) dataset originally intended for AI Dungeon 2. Performance will be very poor, as expected by the small model, and generations may be offensive thanks to its training data.

This model was trained for testing purposes and was intended for use with KoboldAI. A temperature of `0.5` and a repetition penalty of `1.01` were tested.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- 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 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "model-index": [{"name": "pythia-70m-deduped-aid", "results": []}]}
transformers pytorch gpt_neox text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt_neox #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# pythia-70m-deduped-aid

!Example

## Model description

This model is a finetune of EleutherAI/pythia-70m-deduped (from when it was instead 'pythia-19m-deduped'), on the 'text_adventures.txt' dataset originally intended for AI Dungeon 2. Performance will be very poor, as expected by the small model, and generations may be offensive thanks to its training data.

This model was trained for testing purposes and was intended for use with KoboldAI. A temperature of '0.5' and a repetition penalty of '1.01' were tested.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- 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 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2

# pythia-70m-deduped-aid

!Example ## Model description

This model is a finetune of EleutherAI/pythia-70m-deduped (from when it was instead 'pythia-19m-deduped'), on the 'text_adventures.txt' dataset originally intended for AI Dungeon 2. Performance will be very poor, as expected by the small model, and generations may be offensive thanks to its training data.

This model was trained for testing purposes and was intended for use with KoboldAI. A temperature of '0.5' and a repetition penalty of '1.01' were tested. ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- 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 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #gpt_neox #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # pythia-70m-deduped-aid

!Example ## Model description

This model is a finetune of EleutherAI/pythia-70m-deduped (from when it was instead 'pythia-19m-deduped'), on the 'text_adventures.txt' dataset originally intended for AI Dungeon 2. Performance will be very poor, as expected by the small model, and generations may be offensive thanks to its training data.

This model was trained for testing purposes and was intended for use with KoboldAI. A temperature of '0.5' and a repetition penalty of '1.01' were tested. ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- 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 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #gpt_neox #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# pythia-70m-deduped-aid

!Example## Model description

This model is a finetune of EleutherAI/pythia-70m-deduped (from when it was instead 'pythia-19m-deduped'), on the 'text_adventures.txt' dataset originally intended for AI Dungeon 2. Performance will be very poor, as expected by the small model, and generations may be offensive thanks to its training data.

This model was trained for testing purposes and was intended for use with KoboldAI. A temperature of '0.5' and a repetition penalty of '1.01' were tested.### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- 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 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2