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# decision-transformer-HalfCheetah-v3

This model is a fine-tuned version of [](https://huggingface.co/) on the decision_transformer_gym_replay dataset.

## 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: 0.0001
- train_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 120

### Training results



### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2

{"library_name": "transformers", "tags": ["HalfCheetah-v3", "deep-reinforcement-learning", "reinforcement-learning", "decision-transformer"], "model-index": [{"name": "decision-transformer-HalfCheetah-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "decision_transformer_gym_replay", "type": "decision_transformer_gym_replay"}, "metrics": [{"type": "mean_reward", "value": "0.0 +/- 0.0", "name": "mean_reward", "verified": false}]}]}]}
transformers pytorch tensorboard decision_transformer HalfCheetah-v3 deep-reinforcement-learning reinforcement-learning decision-transformer model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #decision_transformer #HalfCheetah-v3 #deep-reinforcement-learning #reinforcement-learning #decision-transformer #model-index #endpoints_compatible #region-us 




# decision-transformer-HalfCheetah-v3

This model is a fine-tuned version of [](URL on the decision_transformer_gym_replay dataset.

## 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: 0.0001
- train_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 120

### Training results



### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2

# decision-transformer-HalfCheetah-v3

This model is a fine-tuned version of [](URL on the decision_transformer_gym_replay dataset. ## 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: 0.0001
- train_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 120 ### Training results ### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #decision_transformer #HalfCheetah-v3 #deep-reinforcement-learning #reinforcement-learning #decision-transformer #model-index #endpoints_compatible #region-us 
 # decision-transformer-HalfCheetah-v3

This model is a fine-tuned version of [](URL on the decision_transformer_gym_replay dataset. ## 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: 0.0001
- train_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 120 ### Training results ### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #decision_transformer #HalfCheetah-v3 #deep-reinforcement-learning #reinforcement-learning #decision-transformer #model-index #endpoints_compatible #region-us 
# decision-transformer-HalfCheetah-v3

This model is a fine-tuned version of [](URL on the decision_transformer_gym_replay dataset.## 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: 0.0001
- train_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 120### Training results### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2