decision-transformer-halfcheetah-v4
This model is a fine-tuned version of on the halfcheetah-expert-v2 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: 360
Training results
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.1.2+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1
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