| --- |
| tags: |
| - generated_from_trainer |
| datasets: |
| - final_dataset |
| model-index: |
| - name: diff_6b_full |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # diff_6b_full |
|
|
| This model is a fine-tuned version of [codegen-6b](https://huggingface.co/codegen-6b) on the final_dataset 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: 1e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 64 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 256 |
| - total_eval_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 895 |
| - num_epochs: 1.0 |
|
|
| ### Training results |
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| ### Framework versions |
|
|
| - Transformers 4.22.0.dev0 |
| - Pytorch 1.13.0 |
| - Datasets 2.7.1 |
| - Tokenizers 0.12.1 |
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|
