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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: distilroberta-base-finetuned-squad2-lwt
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
split: validation
metrics:
- name: Exact Match
type: exact_match
value: 69.9495
verified: true
- name: F1
type: f1
value: 73.1199
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. -->
# distilroberta-base-finetuned-squad2-lwt
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1356
## 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: 32
- 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
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1702 | 1.0 | 4120 | 1.1220 |
| 0.9787 | 2.0 | 8240 | 1.0500 |
| 0.8153 | 3.0 | 12360 | 1.1356 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
{'HasAns_exact': 71.39001349527665,
'HasAns_f1': 77.71740687727831,
'HasAns_total': 5928,
'NoAns_exact': 68.59545836837678,
'NoAns_f1': 68.59545836837678,
'NoAns_total': 5945,
'best_exact': 69.9991577528847,
'best_exact_thresh': 0.0,
'best_f1': 73.1583245993857,
'best_f1_thresh': 0.0,
'exact': 69.99073528173166,
'f1': 73.1499021282327,
'total': 11873} |