QA-MatBERT-seed30 / README.md
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---
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: matbert-lr3-seed30
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. -->
# matbert-lr3-seed30
This model is a fine-tuned version of [/scratch/project_2006183/matilda/finetune-msb-qa/finetuning-scripts/matbert-base-uncased](https://huggingface.co//scratch/project_2006183/matilda/finetune-msb-qa/finetuning-scripts/matbert-base-uncased) on the squad_v2 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
### Training results
### Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu116
- Datasets 2.3.2
- Tokenizers 0.12.1