metadata
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
decision-transformer-HalfCheetah-v3
This model is a fine-tuned version of 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