046_inst-tuning_model-gpt_neo2.7B_num-epoch-5_init-lr-2e-5_bf-16_blocksize768
This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on the lmflow_instruction 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
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Model tree for OptimalScale/gpt-neo2.7B-inst-tuning
Base model
EleutherAI/gpt-neo-2.7B