tinystarcoder-rlhf-model
This model is a fine-tuned version of bigcode/tiny_starcoder_py on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6931
- Accuracy: 0.0
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.9.0
- Tokenizers 0.15.1
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Model tree for Saini-Manisha/tinystarcoder-rlhf-model
Base model
bigcode/tiny_starcoder_py