autoevaluator's picture
Add evaluation results on the adversarialQA config and validation split of adversarial_qa
0cd9fa9
|
raw
history blame
2.67 kB
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: adversarial_qa
type: adversarial_qa
config: adversarialQA
split: validation
metrics:
- type: f1
value: 28.1049
name: F1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjFhM2IzN2Q4YzViNTJjNDA5MDA0NzY4ZjczM2JkZWY5YjU1YjNlOWMxMzFlNWE4YmQ1ZWExNjkyOTczM2U2MyIsInZlcnNpb24iOjF9.wdceJ4rSkVCl8omR7mKueLmtOF20jCeov8QY5GEObLhn-ySi4G7qT2K0TksvxjYn1xEndZlubxo0_EieEK-IAw
- type: exact_match
value: 16.8333
name: Exact Match
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjcxY2M1YzE3ZGVhZjY3NmVmMTMxZWI2MDQzMjIwZjkzNGU4NDk3YjJhM2Y1ZmI3MjhiMmZmZDc3ZGNhMGRlZCIsInZlcnNpb24iOjF9.42aWSl0lCIJT5T1MiIW2IBmlC4p9PDILAWtPmzvpCp15whV9sVCqkJsFnhHqj4lp93yAM-PAOqTV4IjrmUnSCA
- type: loss
value: 3.6697278022766113
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzkyZWQ3OTFiMGJiNTIzYWY2NzY2MzU2NmI0YmVhZGQ0ZTMxODA4ZTk1OGQ1ZDcxNzg0YjkwZmY2Njc3MmRlNCIsInZlcnNpb24iOjF9.wwZcsWtNr4wZQqhTgVwsAbUT2w7z6-T-wFR7pfqDoY-BC-CaH2aOUwgcUvpi9oY9kBPwjaCoW0gUytNWTnbHDg
---
<!-- 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. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1657
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2109 | 1.0 | 5533 | 1.1564 |
| 0.9593 | 2.0 | 11066 | 1.1297 |
| 0.7541 | 3.0 | 16599 | 1.1657 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2