pythia-1b-self-kto-iter1
This model is a fine-tuned version of DatPySci/pythia-1b-self-kto-iter0 on the generated/iter1 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: 5e-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
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Model tree for DatPySci/pythia-1b-self-kto-iter1
Base model
DatPySci/pythia-1b-sft-full
Finetuned
DatPySci/pythia-1b-self-kto-iter0