| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - gsm8k | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: opt_1_flan_gsm8k | |
| results: | |
| - task: | |
| name: Causal Language Modeling | |
| type: text-generation | |
| dataset: | |
| name: gsm8k main | |
| type: gsm8k | |
| args: main | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.19469348746188503 | |
| <!-- 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. --> | |
| # opt_1_flan_gsm8k | |
| This model is a fine-tuned version of [](https://huggingface.co/) on the gsm8k main dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 5.2508 | |
| - Accuracy: 0.1947 | |
| ## 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-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.37.0.dev0 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.16.1 | |
| - Tokenizers 0.15.0 | |