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