Model save
Browse files- README.md +84 -0
- all_results.json +36 -0
- eval_results.json +30 -0
- model.safetensors +1 -1
- train_results.json +9 -0
- trainer_state.json +476 -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
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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
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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: 0.0737
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- Overall Precision: 0.7273
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- Overall Recall: 0.7428
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- Overall F1: 0.7350
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- Overall Accuracy: 0.9752
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- Aadhar F1: 0.8128
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- Age F1: 0.4700
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- City F1: 0.7686
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- Country F1: 0.7226
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- Creditcardcvv F1: 0.7531
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- Creditcardnumber F1: 0.8109
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- Date F1: 0.7126
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- Dateofbirth F1: 0.7262
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- Email F1: 0.6935
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- Expiry F1: 0.6621
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- Organization F1: 0.7623
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- Pan F1: 0.7772
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- Person F1: 0.7568
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- Phonenumber F1: 0.8194
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- Secondary F1: 0.6278
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- State F1: 0.7735
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- Time F1: 0.7856
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- Url F1: 0.5824
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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: 8
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- eval_batch_size: 8
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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 F1 | Age F1 | City F1 | Country F1 | Creditcardcvv F1 | Creditcardnumber F1 | Date F1 | Dateofbirth F1 | Email F1 | Expiry F1 | Organization F1 | Pan F1 | Person F1 | Phonenumber F1 | Secondary F1 | State F1 | Time F1 | Url F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:---------:|:------:|:-------:|:----------:|:----------------:|:-------------------:|:-------:|:--------------:|:--------:|:---------:|:---------------:|:------:|:---------:|:--------------:|:------------:|:--------:|:-------:|:------:|
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| 0.1576 | 1.0 | 3893 | 0.1289 | 0.5166 | 0.5445 | 0.5302 | 0.9559 | 0.6073 | 0.1745 | 0.5790 | 0.5463 | 0.5707 | 0.6816 | 0.4834 | 0.4489 | 0.4808 | 0.5009 | 0.6085 | 0.5667 | 0.5383 | 0.5811 | 0.4273 | 0.6592 | 0.5824 | 0.2314 |
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| 0.1075 | 2.0 | 7786 | 0.1151 | 0.5991 | 0.6001 | 0.5996 | 0.9610 | 0.7012 | 0.2439 | 0.6649 | 0.5689 | 0.6735 | 0.6950 | 0.5229 | 0.6065 | 0.5176 | 0.4904 | 0.6910 | 0.7248 | 0.5493 | 0.6810 | 0.5406 | 0.6382 | 0.6816 | 0.3492 |
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| 0.0804 | 3.0 | 11679 | 0.0841 | 0.6783 | 0.7045 | 0.6911 | 0.9709 | 0.7826 | 0.3554 | 0.7372 | 0.6909 | 0.7276 | 0.7621 | 0.6459 | 0.7272 | 0.6303 | 0.6235 | 0.7329 | 0.7324 | 0.6816 | 0.7855 | 0.5912 | 0.7620 | 0.7529 | 0.4652 |
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| 0.0532 | 4.0 | 15572 | 0.0737 | 0.7273 | 0.7428 | 0.7350 | 0.9752 | 0.8128 | 0.4700 | 0.7686 | 0.7226 | 0.7531 | 0.8109 | 0.7126 | 0.7262 | 0.6935 | 0.6621 | 0.7623 | 0.7772 | 0.7568 | 0.8194 | 0.6278 | 0.7735 | 0.7856 | 0.5824 |
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| 0.0381 | 5.0 | 19465 | 0.0753 | 0.7372 | 0.7589 | 0.7479 | 0.9768 | 0.8278 | 0.4925 | 0.7705 | 0.7185 | 0.7832 | 0.8258 | 0.7231 | 0.7605 | 0.7027 | 0.6676 | 0.7700 | 0.8011 | 0.7591 | 0.8305 | 0.6558 | 0.7828 | 0.7978 | 0.6144 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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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_f1": 0.8128376231331428,
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"eval_AGE_f1": 0.4700162074554295,
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"eval_CITY_f1": 0.7685916078105525,
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"eval_COUNTRY_f1": 0.7226140103432064,
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"eval_CREDITCARDCVV_f1": 0.75306823760432,
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"eval_CREDITCARDNUMBER_f1": 0.8108559498956159,
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"eval_DATEOFBIRTH_f1": 0.7261687917425622,
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"eval_DATE_f1": 0.7126321087065928,
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"eval_EMAIL_f1": 0.6934642528382939,
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"eval_EXPIRY_f1": 0.6621376811594203,
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"eval_ORGANIZATION_f1": 0.7623318385650225,
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"eval_PAN_f1": 0.7771563143950544,
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"eval_PERSON_f1": 0.7567690557451651,
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"eval_PHONENUMBER_f1": 0.8193832599118942,
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"eval_SECONDARY_f1": 0.6278339727938611,
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"eval_STATE_f1": 0.7735243269943195,
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"eval_TIME_f1": 0.7856,
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"eval_URL_f1": 0.5823902842947833,
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"eval_loss": 0.07368036359548569,
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"eval_overall_accuracy": 0.9751581288663377,
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"eval_overall_f1": 0.7349767992514655,
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"eval_overall_precision": 0.7273242630385488,
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"eval_overall_recall": 0.7427920799722104,
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"eval_runtime": 85.8812,
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"eval_samples": 7785,
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"eval_samples_per_second": 90.648,
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"eval_steps_per_second": 11.341,
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"total_flos": 2.3463823353089932e+16,
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"train_loss": 0.13554635967780837,
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"train_runtime": 4621.5139,
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"train_samples": 31139,
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"train_samples_per_second": 33.689,
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"train_steps_per_second": 4.212
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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_f1": 0.8128376231331428,
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"eval_AGE_f1": 0.4700162074554295,
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"eval_CITY_f1": 0.7685916078105525,
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"eval_COUNTRY_f1": 0.7226140103432064,
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"eval_CREDITCARDCVV_f1": 0.75306823760432,
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"eval_CREDITCARDNUMBER_f1": 0.8108559498956159,
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"eval_DATEOFBIRTH_f1": 0.7261687917425622,
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"eval_DATE_f1": 0.7126321087065928,
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"eval_EMAIL_f1": 0.6934642528382939,
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+
"eval_EXPIRY_f1": 0.6621376811594203,
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+
"eval_ORGANIZATION_f1": 0.7623318385650225,
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"eval_PAN_f1": 0.7771563143950544,
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+
"eval_PERSON_f1": 0.7567690557451651,
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"eval_PHONENUMBER_f1": 0.8193832599118942,
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"eval_SECONDARY_f1": 0.6278339727938611,
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"eval_STATE_f1": 0.7735243269943195,
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"eval_TIME_f1": 0.7856,
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"eval_URL_f1": 0.5823902842947833,
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"eval_loss": 0.07368036359548569,
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+
"eval_overall_accuracy": 0.9751581288663377,
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+
"eval_overall_f1": 0.7349767992514655,
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+
"eval_overall_precision": 0.7273242630385488,
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+
"eval_overall_recall": 0.7427920799722104,
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+
"eval_runtime": 85.8812,
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+
"eval_samples": 7785,
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"eval_samples_per_second": 90.648,
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"eval_steps_per_second": 11.341
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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 735464404
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:91af9d520039b009f3684f3a46629166788e37b7f20ab5538f9f566ad665ad01
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size 735464404
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train_results.json
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{
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"epoch": 5.0,
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"total_flos": 2.3463823353089932e+16,
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"train_loss": 0.13554635967780837,
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"train_runtime": 4621.5139,
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"train_samples": 31139,
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"train_samples_per_second": 33.689,
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"train_steps_per_second": 4.212
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}
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trainer_state.json
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