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autoevaluator
HF staff
Add evaluation results on the plain_text config and validation split of squad
427940f
license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- squad | |
model-index: | |
- name: albert-base-v2_squad | |
results: | |
- task: | |
type: question-answering | |
name: Question Answering | |
dataset: | |
name: squad | |
type: squad | |
config: plain_text | |
split: validation | |
metrics: | |
- name: Exact Match | |
type: exact_match | |
value: 82.7027 | |
verified: true | |
- name: F1 | |
type: f1 | |
value: 90.1174 | |
verified: true | |
<!-- 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. --> | |
# albert-base-v2_squad | |
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the **squadV1** dataset. | |
- "eval_exact_match": 82.69631031220435 | |
- "eval_f1": 90.10806626207174 | |
- "eval_samples": 10808 | |
## 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: 16 | |
- eval_batch_size: 32 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3.0 | |
### Training results | |
### Framework versions | |
- Transformers 4.14.1 | |
- Pytorch 1.9.0 | |
- Datasets 1.16.1 | |
- Tokenizers 0.10.3 | |