File size: 2,279 Bytes
ab30ea5 92f92f2 ab30ea5 66f7605 ab30ea5 7e3dc99 ab30ea5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-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: 30.1868
name: F1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzJjYjg3ODg5OWFmYjhmZjE5NWQ0ZTI2MTJjNDc2ZDVlNzRiYTdkMTYxZGNlMjhiZTI5MGMxZTBlYWVlYzdjMCIsInZlcnNpb24iOjF9.ErN6Yg23Q7ruGoEMiYOY7hdYLpDGgDpdLmuOWdOJao-vJVM7ZgiPnbHnbdeJ8HrOlrf58KjmehT57pHFfvuOCA
- type: exact_match
value: 19.7667
name: Exact Match
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQ4YTA3YmU5ZjU1YjA1MjU1NjE3NDU4MjA4NjYyM2QwNmU3ODJiNDZlZjAyZWI0ZDliOTk4ZDY3YTJmY2E5YSIsInZlcnNpb24iOjF9.A3MVrJ7HZrbWaiEh2vlk9--DlPs3Vs2BMEWhj1iMeYTHzK0sWkfK3wEfCgT0xQrzdS2clQ2JDo54zrA5cWBhCw
- type: loss
value: 3.1052029132843018
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTVjYWJkODJmMTVkN2ZiOGEyZjBkZWUxMWI1MGNjNzdlOTZlMTYwMjc2ZDlhODllMTBhNTkyZjEwM2VlYWFhZiIsInZlcnNpb24iOjF9.JXkLlAgAafzi0gUZWx9_IkIBs2Neta7xxdC-uNclHQwUQf6AF5ZPEU_IQMGllm3ZNBYr7jeHtCcviryy1VSFBA
---
<!-- 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. -->
# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squad 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
### Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
|