Model save
Browse files- README.md +85 -0
- all_results.json +37 -0
- eval_results.json +31 -0
- model.safetensors +1 -1
- train_results.json +9 -0
- trainer_state.json +1287 -0
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-base
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tags:
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- generated_from_trainer
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model-index:
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- name: deberta-v3-base_finetuned_bluegennx_run2.19_5e
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# deberta-v3-base_finetuned_bluegennx_run2.19_5e
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0196
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- Overall Precision: 0.9773
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- Overall Recall: 0.9870
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- Overall F1: 0.9822
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- Overall Accuracy: 0.9957
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- Aadhar Card F1: 0.9908
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- Age F1: 0.9708
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- City F1: 0.9879
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- Country F1: 0.9825
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- Creditcardcvv F1: 0.9915
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- Creditcardnumber F1: 0.9428
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- Date F1: 0.9626
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- Dateofbirth F1: 0.9056
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- Email F1: 0.9928
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- Expirydate F1: 0.9898
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- Organization F1: 0.9925
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- Pan Card F1: 0.9866
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- Person F1: 0.9887
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- Phonenumber F1: 0.9880
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- Pincode F1: 0.9897
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- Secondaryaddress F1: 0.9891
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- State F1: 0.9912
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- Time F1: 0.9831
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- Url F1: 0.9955
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine_with_restarts
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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Aadhar Card F1 | Age F1 | City F1 | Country F1 | Creditcardcvv F1 | Creditcardnumber F1 | Date F1 | Dateofbirth F1 | Email F1 | Expirydate F1 | Organization F1 | Pan Card F1 | Person F1 | Phonenumber F1 | Pincode F1 | Secondaryaddress F1 | State F1 | Time F1 | Url F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:------:|:-------:|:----------:|:----------------:|:-------------------:|:-------:|:--------------:|:--------:|:-------------:|:---------------:|:-----------:|:---------:|:--------------:|:----------:|:-------------------:|:--------:|:-------:|:------:|
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| 0.0356 | 1.0 | 15321 | 0.0383 | 0.9535 | 0.9675 | 0.9604 | 0.9915 | 0.9542 | 0.9221 | 0.9617 | 0.9816 | 0.9243 | 0.9195 | 0.9235 | 0.8262 | 0.9826 | 0.9477 | 0.9882 | 0.9529 | 0.9785 | 0.9684 | 0.9187 | 0.9734 | 0.9665 | 0.9723 | 0.9888 |
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| 0.0231 | 2.0 | 30642 | 0.0265 | 0.9607 | 0.9814 | 0.9709 | 0.9937 | 0.9586 | 0.9437 | 0.9808 | 0.9821 | 0.9799 | 0.9006 | 0.9488 | 0.8788 | 0.9864 | 0.9768 | 0.9843 | 0.9837 | 0.9824 | 0.9809 | 0.9840 | 0.9820 | 0.9906 | 0.9749 | 0.9784 |
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| 0.0182 | 3.0 | 45963 | 0.0219 | 0.9726 | 0.9854 | 0.9789 | 0.9951 | 0.9842 | 0.9631 | 0.9856 | 0.9843 | 0.9854 | 0.9424 | 0.9553 | 0.8962 | 0.9890 | 0.9878 | 0.9921 | 0.9869 | 0.9859 | 0.9815 | 0.9867 | 0.9884 | 0.9917 | 0.9767 | 0.9962 |
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| 0.0106 | 4.0 | 61284 | 0.0196 | 0.9773 | 0.9870 | 0.9822 | 0.9957 | 0.9908 | 0.9708 | 0.9879 | 0.9825 | 0.9915 | 0.9428 | 0.9626 | 0.9056 | 0.9928 | 0.9898 | 0.9925 | 0.9866 | 0.9887 | 0.9880 | 0.9897 | 0.9891 | 0.9912 | 0.9831 | 0.9955 |
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| 0.0044 | 5.0 | 76605 | 0.0214 | 0.9787 | 0.9876 | 0.9831 | 0.9959 | 0.9934 | 0.9710 | 0.9885 | 0.9846 | 0.9915 | 0.9453 | 0.9646 | 0.9125 | 0.9931 | 0.9898 | 0.9937 | 0.9875 | 0.9886 | 0.9893 | 0.9907 | 0.9903 | 0.9924 | 0.9837 | 0.9958 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 5.0,
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"eval_AADHAR_CARD_f1": 0.9907578558225508,
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"eval_AGE_f1": 0.9708328161846841,
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"eval_CITY_f1": 0.9878752404047161,
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"eval_COUNTRY_f1": 0.9825406381697773,
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"eval_CREDITCARDCVV_f1": 0.9914874551971327,
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"eval_CREDITCARDNUMBER_f1": 0.9427984036763817,
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"eval_DATEOFBIRTH_f1": 0.905574984571076,
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"eval_DATE_f1": 0.9626126791783657,
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"eval_EMAIL_f1": 0.9927686973749381,
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"eval_EXPIRYDATE_f1": 0.9897909577053962,
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"eval_ORGANIZATION_f1": 0.9925087907047851,
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"eval_PAN_CARD_f1": 0.986565752128666,
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"eval_PERSON_f1": 0.988700182691657,
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"eval_PHONENUMBER_f1": 0.9879518072289156,
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"eval_PINCODE_f1": 0.9896975739448322,
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"eval_SECONDARYADDRESS_f1": 0.9890931125025247,
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"eval_STATE_f1": 0.9911617778916357,
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"eval_TIME_f1": 0.9831231454005935,
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"eval_URL_f1": 0.9955277280858676,
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"eval_loss": 0.019619259983301163,
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"eval_overall_accuracy": 0.9957009162002273,
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"eval_overall_f1": 0.9821630214328783,
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"eval_overall_precision": 0.9773414062073856,
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"eval_overall_recall": 0.9870324464275877,
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"eval_runtime": 250.2495,
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"eval_samples": 15321,
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"eval_samples_per_second": 61.223,
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"eval_steps_per_second": 15.309,
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"total_flos": 2.977427926260837e+16,
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"train_loss": 0.04493269212492903,
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"train_runtime": 13569.8925,
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"train_samples": 61281,
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"train_samples_per_second": 22.58,
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"train_steps_per_second": 5.645
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_AADHAR_CARD_f1": 0.9907578558225508,
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"eval_AGE_f1": 0.9708328161846841,
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"eval_CITY_f1": 0.9878752404047161,
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"eval_COUNTRY_f1": 0.9825406381697773,
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+
"eval_CREDITCARDCVV_f1": 0.9914874551971327,
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+
"eval_CREDITCARDNUMBER_f1": 0.9427984036763817,
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"eval_DATEOFBIRTH_f1": 0.905574984571076,
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"eval_DATE_f1": 0.9626126791783657,
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"eval_EMAIL_f1": 0.9927686973749381,
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"eval_EXPIRYDATE_f1": 0.9897909577053962,
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"eval_ORGANIZATION_f1": 0.9925087907047851,
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"eval_PAN_CARD_f1": 0.986565752128666,
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"eval_PERSON_f1": 0.988700182691657,
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"eval_PHONENUMBER_f1": 0.9879518072289156,
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+
"eval_PINCODE_f1": 0.9896975739448322,
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+
"eval_SECONDARYADDRESS_f1": 0.9890931125025247,
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+
"eval_STATE_f1": 0.9911617778916357,
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"eval_TIME_f1": 0.9831231454005935,
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"eval_URL_f1": 0.9955277280858676,
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"eval_loss": 0.019619259983301163,
|
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"eval_overall_accuracy": 0.9957009162002273,
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"eval_overall_f1": 0.9821630214328783,
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"eval_overall_precision": 0.9773414062073856,
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+
"eval_overall_recall": 0.9870324464275877,
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+
"eval_runtime": 250.2495,
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"eval_samples": 15321,
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"eval_samples_per_second": 61.223,
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"eval_steps_per_second": 15.309
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 735470556
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab06e76199ec4b084481c8456e759a2081dc2d5f4186bafe68804ad9d21eec70
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size 735470556
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train_results.json
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{
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"epoch": 5.0,
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"total_flos": 2.977427926260837e+16,
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"train_loss": 0.04493269212492903,
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"train_runtime": 13569.8925,
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"train_samples": 61281,
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"train_samples_per_second": 22.58,
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"train_steps_per_second": 5.645
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}
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trainer_state.json
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