license: mit | |
tags: | |
- generated_from_trainer | |
datasets: | |
- lmflow_instruction | |
base_model: EleutherAI/gpt-neo-2.7B | |
model-index: | |
- name: 046_inst-tuning_model-gpt_neo2.7B_num-epoch-5_init-lr-2e-5_bf-16_blocksize768 | |
results: [] | |
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# 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](https://huggingface.co/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 | |