| license: bigscience-bloom-rail-1.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad_v2 | |
| base_model: bigscience/bloom-560m | |
| model-index: | |
| - name: debug_bloom_squad | |
| results: [] | |
| <!-- This model card has mostly been generated automatically according to the information the Trainer had access to. I've added some additional context. --> | |
| # POC - BLOOM for QuestionAnswering, tuned on squad_v2 | |
| This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the squad_v2 dataset. | |
| It is intended for a proof of concept, and perhaps to serve as a starting point for others trying to do the same thing. | |
| Ongoing discussion surrounding this effort: | |
| https://huggingface.co/bigscience/bloom/discussions/46#633c57b2ccce04161f82e6c2 | |
| ## 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: 3e-05 | |
| - train_batch_size: 6 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2.0 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.24.0.dev0 | |
| - Pytorch 1.12.1+cu102 | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.13.1 | |