Model save

Browse files

Files changed (5) hide show

README.md +82 -0
all_results.json +37 -0
eval_results.json +31 -0
train_results.json +9 -0
trainer_state.json +550 -0

README.md ADDED Viewed

	@@ -0,0 +1,82 @@

+---
+license: mit
+base_model: microsoft/deberta-v3-base
+tags:
+- generated_from_trainer
+model-index:
+- name: deberta-v3-base_finetuned_bluegennx_run2.19_2e
+  results: []
+---
+<!-- 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. -->
+# deberta-v3-base_finetuned_bluegennx_run2.19_2e
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0201
+- Overall Precision: 0.9745
+- Overall Recall: 0.9862
+- Overall F1: 0.9803
+- Overall Accuracy: 0.9952
+- Aadhar Card F1: 0.9837
+- Age F1: 0.9633
+- City F1: 0.9842
+- Country F1: 0.9843
+- Creditcardcvv F1: 0.9879
+- Creditcardnumber F1: 0.9416
+- Date F1: 0.9600
+- Dateofbirth F1: 0.9023
+- Email F1: 0.9900
+- Expirydate F1: 0.9912
+- Organization F1: 0.9910
+- Pan Card F1: 0.9867
+- Person F1: 0.9878
+- Phonenumber F1: 0.9858
+- Pincode F1: 0.9907
+- Secondaryaddress F1: 0.9878
+- State F1: 0.9909
+- Time F1: 0.9820
+- Url F1: 0.9949
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 2
+### Training results
+| 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:------:|:-------:|:----------:|:----------------:|:-------------------:|:-------:|:--------------:|:--------:|:-------------:|:---------------:|:-----------:|:---------:|:--------------:|:----------:|:-------------------:|:--------:|:-------:|:------:|
+| 0.0261        | 1.0   | 15321 | 0.0287          | 0.9619            | 0.9781         | 0.9700     | 0.9934           | 0.9613         | 0.9463 | 0.9541  | 0.9832     | 0.9793           | 0.9270              | 0.9481  | 0.8767         | 0.9793   | 0.9809        | 0.9882          | 0.9751      | 0.9840    | 0.9747         | 0.9835     | 0.9831              | 0.9620   | 0.9780  | 0.9873 |
+| 0.0152        | 2.0   | 30642 | 0.0201          | 0.9745            | 0.9862         | 0.9803     | 0.9952           | 0.9837         | 0.9633 | 0.9842  | 0.9843     | 0.9879           | 0.9416              | 0.9600  | 0.9023         | 0.9900   | 0.9912        | 0.9910          | 0.9867      | 0.9878    | 0.9858         | 0.9907     | 0.9878              | 0.9909   | 0.9820  | 0.9949 |
+### Framework versions
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

all_results.json ADDED Viewed

	@@ -0,0 +1,37 @@

+{
+    "epoch": 2.0,
+    "eval_AADHAR_CARD_f1": 0.9837270341207349,
+    "eval_AGE_f1": 0.9633416458852868,
+    "eval_CITY_f1": 0.9842361227570016,
+    "eval_COUNTRY_f1": 0.9843467790487658,
+    "eval_CREDITCARDCVV_f1": 0.9878760664571171,
+    "eval_CREDITCARDNUMBER_f1": 0.9416398138202648,
+    "eval_DATEOFBIRTH_f1": 0.9023332645054718,
+    "eval_DATE_f1": 0.9600118046333186,
+    "eval_EMAIL_f1": 0.990012854741422,
+    "eval_EXPIRYDATE_f1": 0.9912280701754386,
+    "eval_ORGANIZATION_f1": 0.991032304086416,
+    "eval_PAN_CARD_f1": 0.9867424242424242,
+    "eval_PERSON_f1": 0.9877905928996216,
+    "eval_PHONENUMBER_f1": 0.9857583321098224,
+    "eval_PINCODE_f1": 0.9907161803713527,
+    "eval_SECONDARYADDRESS_f1": 0.9877938061131848,
+    "eval_STATE_f1": 0.9909125815947779,
+    "eval_TIME_f1": 0.9819761530640541,
+    "eval_URL_f1": 0.9948626312262676,
+    "eval_loss": 0.020110823214054108,
+    "eval_overall_accuracy": 0.9951943362620375,
+    "eval_overall_f1": 0.9803088380243128,
+    "eval_overall_precision": 0.9744924065102607,
+    "eval_overall_recall": 0.9861951192640335,
+    "eval_runtime": 249.9695,
+    "eval_samples": 15321,
+    "eval_samples_per_second": 61.291,
+    "eval_steps_per_second": 15.326,
+    "total_flos": 1.1909329832222172e+16,
+    "train_loss": 0.06240972641763811,
+    "train_runtime": 5473.6718,
+    "train_samples": 61281,
+    "train_samples_per_second": 22.391,
+    "train_steps_per_second": 5.598
+}

eval_results.json ADDED Viewed

	@@ -0,0 +1,31 @@

+{
+    "epoch": 2.0,
+    "eval_AADHAR_CARD_f1": 0.9837270341207349,
+    "eval_AGE_f1": 0.9633416458852868,
+    "eval_CITY_f1": 0.9842361227570016,
+    "eval_COUNTRY_f1": 0.9843467790487658,
+    "eval_CREDITCARDCVV_f1": 0.9878760664571171,
+    "eval_CREDITCARDNUMBER_f1": 0.9416398138202648,
+    "eval_DATEOFBIRTH_f1": 0.9023332645054718,
+    "eval_DATE_f1": 0.9600118046333186,
+    "eval_EMAIL_f1": 0.990012854741422,
+    "eval_EXPIRYDATE_f1": 0.9912280701754386,
+    "eval_ORGANIZATION_f1": 0.991032304086416,
+    "eval_PAN_CARD_f1": 0.9867424242424242,
+    "eval_PERSON_f1": 0.9877905928996216,
+    "eval_PHONENUMBER_f1": 0.9857583321098224,
+    "eval_PINCODE_f1": 0.9907161803713527,
+    "eval_SECONDARYADDRESS_f1": 0.9877938061131848,
+    "eval_STATE_f1": 0.9909125815947779,
+    "eval_TIME_f1": 0.9819761530640541,
+    "eval_URL_f1": 0.9948626312262676,
+    "eval_loss": 0.020110823214054108,
+    "eval_overall_accuracy": 0.9951943362620375,
+    "eval_overall_f1": 0.9803088380243128,
+    "eval_overall_precision": 0.9744924065102607,
+    "eval_overall_recall": 0.9861951192640335,
+    "eval_runtime": 249.9695,
+    "eval_samples": 15321,
+    "eval_samples_per_second": 61.291,
+    "eval_steps_per_second": 15.326
+}

train_results.json ADDED Viewed

	@@ -0,0 +1,9 @@

+{
+    "epoch": 2.0,
+    "total_flos": 1.1909329832222172e+16,
+    "train_loss": 0.06240972641763811,
+    "train_runtime": 5473.6718,
+    "train_samples": 61281,
+    "train_samples_per_second": 22.391,
+    "train_steps_per_second": 5.598
+}

trainer_state.json ADDED Viewed

	@@ -0,0 +1,550 @@

+{
+  "best_metric": 0.020110823214054108,
+  "best_model_checkpoint": "./deberta-v3-base_finetuned_bluegennx_run2.19_2e/checkpoint-30642",
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 30642,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.03,
+      "grad_norm": 2.541147470474243,
+      "learning_rate": 4.078968836678088e-06,
+      "loss": 1.5263,
+      "step": 500
+    },
+    {
+      "epoch": 0.07,
+      "grad_norm": 1.968030571937561,
+      "learning_rate": 8.157937673356177e-06,
+      "loss": 0.2859,
+      "step": 1000
+    },
+    {
+      "epoch": 0.1,
+      "grad_norm": 0.2945529818534851,
+      "learning_rate": 1.2236906510034265e-05,
+      "loss": 0.1322,
+      "step": 1500
+    },
+    {
+      "epoch": 0.13,
+      "grad_norm": 1.4127711057662964,
+      "learning_rate": 1.6315875346712353e-05,
+      "loss": 0.0928,
+      "step": 2000
+    },
+    {
+      "epoch": 0.16,
+      "grad_norm": 1.8087753057479858,
+      "learning_rate": 2.039484418339044e-05,
+      "loss": 0.0827,
+      "step": 2500
+    },
+    {
+      "epoch": 0.2,
+      "grad_norm": 0.4666314125061035,
+      "learning_rate": 2.447381302006853e-05,
+      "loss": 0.0665,
+      "step": 3000
+    },
+    {
+      "epoch": 0.23,
+      "grad_norm": 2.213435411453247,
+      "learning_rate": 2.8552781856746613e-05,
+      "loss": 0.0621,
+      "step": 3500
+    },
+    {
+      "epoch": 0.26,
+      "grad_norm": 0.5923435091972351,
+      "learning_rate": 3.2631750693424706e-05,
+      "loss": 0.0622,
+      "step": 4000
+    },
+    {
+      "epoch": 0.29,
+      "grad_norm": 0.3192698657512665,
+      "learning_rate": 3.6710719530102796e-05,
+      "loss": 0.0545,
+      "step": 4500
+    },
+    {
+      "epoch": 0.33,
+      "grad_norm": 0.21803532540798187,
+      "learning_rate": 4.078968836678088e-05,
+      "loss": 0.0557,
+      "step": 5000
+    },
+    {
+      "epoch": 0.36,
+      "grad_norm": 0.024202294647693634,
+      "learning_rate": 4.486865720345897e-05,
+      "loss": 0.0468,
+      "step": 5500
+    },
+    {
+      "epoch": 0.39,
+      "grad_norm": 0.12951496243476868,
+      "learning_rate": 4.894762604013706e-05,
+      "loss": 0.0501,
+      "step": 6000
+    },
+    {
+      "epoch": 0.42,
+      "grad_norm": 0.19036373496055603,
+      "learning_rate": 4.9971745812299085e-05,
+      "loss": 0.0521,
+      "step": 6500
+    },
+    {
+      "epoch": 0.46,
+      "grad_norm": 1.3507754802703857,
+      "learning_rate": 4.984440267634476e-05,
+      "loss": 0.048,
+      "step": 7000
+    },
+    {
+      "epoch": 0.49,
+      "grad_norm": 0.057900320738554,
+      "learning_rate": 4.9615076778917275e-05,
+      "loss": 0.0448,
+      "step": 7500
+    },
+    {
+      "epoch": 0.52,
+      "grad_norm": 0.3218132257461548,
+      "learning_rate": 4.928470947041259e-05,
+      "loss": 0.0466,
+      "step": 8000
+    },
+    {
+      "epoch": 0.55,
+      "grad_norm": 0.9866151213645935,
+      "learning_rate": 4.885465686193794e-05,
+      "loss": 0.0441,
+      "step": 8500
+    },
+    {
+      "epoch": 0.59,
+      "grad_norm": 1.0197815895080566,
+      "learning_rate": 4.832668425866738e-05,
+      "loss": 0.0441,
+      "step": 9000
+    },
+    {
+      "epoch": 0.62,
+      "grad_norm": 0.9317641854286194,
+      "learning_rate": 4.7702958913513574e-05,
+      "loss": 0.0445,
+      "step": 9500
+    },
+    {
+      "epoch": 0.65,
+      "grad_norm": 0.06256090104579926,
+      "learning_rate": 4.69860411308609e-05,
+      "loss": 0.0407,
+      "step": 10000
+    },
+    {
+      "epoch": 0.69,
+      "grad_norm": 0.36358851194381714,
+      "learning_rate": 4.6178873756877836e-05,
+      "loss": 0.0421,
+      "step": 10500
+    },
+    {
+      "epoch": 0.72,
+      "grad_norm": 0.4968320429325104,
+      "learning_rate": 4.528477009954938e-05,
+      "loss": 0.0304,
+      "step": 11000
+    },
+    {
+      "epoch": 0.75,
+      "grad_norm": 1.2788376808166504,
+      "learning_rate": 4.4307400328016045e-05,
+      "loss": 0.0411,
+      "step": 11500
+    },
+    {
+      "epoch": 0.78,
+      "grad_norm": 0.6715700626373291,
+      "learning_rate": 4.325077640704834e-05,
+      "loss": 0.0336,
+      "step": 12000
+    },
+    {
+      "epoch": 0.82,
+      "grad_norm": 1.854251503944397,
+      "learning_rate": 4.211923562849836e-05,
+      "loss": 0.0353,
+      "step": 12500
+    },
+    {
+      "epoch": 0.85,
+      "grad_norm": 0.044830091297626495,
+      "learning_rate": 4.0917422807329866e-05,
+      "loss": 0.0361,
+      "step": 13000
+    },
+    {
+      "epoch": 0.88,
+      "grad_norm": 0.010744288563728333,
+      "learning_rate": 3.9650271215309246e-05,
+      "loss": 0.0347,
+      "step": 13500
+    },
+    {
+      "epoch": 0.91,
+      "grad_norm": 2.754666566848755,
+      "learning_rate": 3.832298233062228e-05,
+      "loss": 0.0316,
+      "step": 14000
+    },
+    {
+      "epoch": 0.95,
+      "grad_norm": 1.647675633430481,
+      "learning_rate": 3.6941004486541304e-05,
+      "loss": 0.0273,
+      "step": 14500
+    },
+    {
+      "epoch": 0.98,
+      "grad_norm": 0.013370398432016373,
+      "learning_rate": 3.5510010506787223e-05,
+      "loss": 0.0261,
+      "step": 15000
+    },
+    {
+      "epoch": 1.0,
+      "eval_AADHAR_CARD_f1": 0.9613259668508287,
+      "eval_AGE_f1": 0.9462576687116565,
+      "eval_CITY_f1": 0.9541174456428695,
+      "eval_COUNTRY_f1": 0.983173076923077,
+      "eval_CREDITCARDCVV_f1": 0.9793072424651371,
+      "eval_CREDITCARDNUMBER_f1": 0.926996918701114,
+      "eval_DATEOFBIRTH_f1": 0.8766835016835016,
+      "eval_DATE_f1": 0.9481049562682217,
+      "eval_EMAIL_f1": 0.9793307086614174,
+      "eval_EXPIRYDATE_f1": 0.9809104258443465,
+      "eval_ORGANIZATION_f1": 0.9881575603557815,
+      "eval_PAN_CARD_f1": 0.9750609413088318,
+      "eval_PERSON_f1": 0.984000540066158,
+      "eval_PHONENUMBER_f1": 0.9747039040795439,
+      "eval_PINCODE_f1": 0.9834765366820886,
+      "eval_SECONDARYADDRESS_f1": 0.9830883833299778,
+      "eval_STATE_f1": 0.9619748161077173,
+      "eval_TIME_f1": 0.9779588812743101,
+      "eval_URL_f1": 0.9872625698324023,
+      "eval_loss": 0.028734495863318443,
+      "eval_overall_accuracy": 0.9933771207589489,
+      "eval_overall_f1": 0.9699552059434065,
+      "eval_overall_precision": 0.9619155967278834,
+      "eval_overall_recall": 0.9781303365834848,
+      "eval_runtime": 285.0273,
+      "eval_samples_per_second": 53.753,
+      "eval_steps_per_second": 13.441,
+      "step": 15321
+    },
+    {
+      "epoch": 1.01,
+      "grad_norm": 0.2590649425983429,
+      "learning_rate": 3.403587441938993e-05,
+      "loss": 0.0302,
+      "step": 15500
+    },
+    {
+      "epoch": 1.04,
+      "grad_norm": 0.24032843112945557,
+      "learning_rate": 3.2524647344633493e-05,
+      "loss": 0.0267,
+      "step": 16000
+    },
+    {
+      "epoch": 1.08,
+      "grad_norm": 0.031069770455360413,
+      "learning_rate": 3.0982532656062604e-05,
+      "loss": 0.0244,
+      "step": 16500
+    },
+    {
+      "epoch": 1.11,
+      "grad_norm": 0.65534907579422,
+      "learning_rate": 2.9415860516511033e-05,
+      "loss": 0.024,
+      "step": 17000
+    },
+    {
+      "epoch": 1.14,
+      "grad_norm": 1.3654996156692505,
+      "learning_rate": 2.783106189367786e-05,
+      "loss": 0.0227,
+      "step": 17500
+    },
+    {
+      "epoch": 1.17,
+      "grad_norm": 0.11274850368499756,
+      "learning_rate": 2.623464216191404e-05,
+      "loss": 0.0225,
+      "step": 18000
+    },
+    {
+      "epoch": 1.21,
+      "grad_norm": 3.295466661453247,
+      "learning_rate": 2.463315439858015e-05,
+      "loss": 0.0208,
+      "step": 18500
+    },
+    {
+      "epoch": 1.24,
+      "grad_norm": 1.3590203523635864,
+      "learning_rate": 2.303317248459006e-05,
+      "loss": 0.0246,
+      "step": 19000
+    },
+    {
+      "epoch": 1.27,
+      "grad_norm": 0.02803308703005314,
+      "learning_rate": 2.1441264119558903e-05,
+      "loss": 0.022,
+      "step": 19500
+    },
+    {
+      "epoch": 1.31,
+      "grad_norm": 0.3329419493675232,
+      "learning_rate": 1.9863963862324454e-05,
+      "loss": 0.0215,
+      "step": 20000
+    },
+    {
+      "epoch": 1.34,
+      "grad_norm": 1.7840496301651,
+      "learning_rate": 1.830774630750671e-05,
+      "loss": 0.021,
+      "step": 20500
+    },
+    {
+      "epoch": 1.37,
+      "grad_norm": 0.012373638339340687,
+      "learning_rate": 1.6778999508212068e-05,
+      "loss": 0.0192,
+      "step": 21000
+    },
+    {
+      "epoch": 1.4,
+      "grad_norm": 0.7150644063949585,
+      "learning_rate": 1.528399875397824e-05,
+      "loss": 0.0193,
+      "step": 21500
+    },
+    {
+      "epoch": 1.44,
+      "grad_norm": 1.5099574327468872,
+      "learning_rate": 1.3828880811597606e-05,
+      "loss": 0.0181,
+      "step": 22000
+    },
+    {
+      "epoch": 1.47,
+      "grad_norm": 0.07326490432024002,
+      "learning_rate": 1.2419618734556984e-05,
+      "loss": 0.0184,
+      "step": 22500
+    },
+    {
+      "epoch": 1.5,
+      "grad_norm": 0.23956900835037231,
+      "learning_rate": 1.1061997344497197e-05,
+      "loss": 0.0174,
+      "step": 23000
+    },
+    {
+      "epoch": 1.53,
+      "grad_norm": 0.00975050963461399,
+      "learning_rate": 9.761589485337946e-06,
+      "loss": 0.0181,
+      "step": 23500
+    },
+    {
+      "epoch": 1.57,
+      "grad_norm": 0.04456551373004913,
+      "learning_rate": 8.523733147541155e-06,
+      "loss": 0.0155,
+      "step": 24000
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 0.02919822372496128,
+      "learning_rate": 7.3535095564145976e-06,
+      "loss": 0.0181,
+      "step": 24500
+    },
+    {
+      "epoch": 1.63,
+      "grad_norm": 0.07429083436727524,
+      "learning_rate": 6.2557223144002006e-06,
+      "loss": 0.0211,
+      "step": 25000
+    },
+    {
+      "epoch": 1.66,
+      "grad_norm": 0.7385916113853455,
+      "learning_rate": 5.234877682964934e-06,
+      "loss": 0.0158,
+      "step": 25500
+    },
+    {
+      "epoch": 1.7,
+      "grad_norm": 0.06193115562200546,
+      "learning_rate": 4.295166085034444e-06,
+      "loss": 0.0152,
+      "step": 26000
+    },
+    {
+      "epoch": 1.73,
+      "grad_norm": 0.24567507207393646,
+      "learning_rate": 3.440444903899198e-06,
+      "loss": 0.0191,
+      "step": 26500
+    },
+    {
+      "epoch": 1.76,
+      "grad_norm": 0.2641615867614746,
+      "learning_rate": 2.6742226492012856e-06,
+      "loss": 0.0145,
+      "step": 27000
+    },
+    {
+      "epoch": 1.79,
+      "grad_norm": 0.020536798983812332,
+      "learning_rate": 1.999644554998209e-06,
+      "loss": 0.0151,
+      "step": 27500
+    },
+    {
+      "epoch": 1.83,
+      "grad_norm": 0.5791102051734924,
+      "learning_rate": 1.4194796690216673e-06,
+      "loss": 0.0162,
+      "step": 28000
+    },
+    {
+      "epoch": 1.86,
+      "grad_norm": 0.14257295429706573,
+      "learning_rate": 9.361094861279646e-07,
+      "loss": 0.0142,
+      "step": 28500
+    },
+    {
+      "epoch": 1.89,
+      "grad_norm": 0.7881425619125366,
+      "learning_rate": 5.515181725982282e-07,
+      "loss": 0.0151,
+      "step": 29000
+    },
+    {
+      "epoch": 1.93,
+      "grad_norm": 0.030007589608430862,
+      "learning_rate": 2.672844214162862e-07,
+      "loss": 0.0153,
+      "step": 29500
+    },
+    {
+      "epoch": 1.96,
+      "grad_norm": 0.5309509634971619,
+      "learning_rate": 8.457497195707431e-08,
+      "loss": 0.0177,
+      "step": 30000
+    },
+    {
+      "epoch": 1.99,
+      "grad_norm": 1.1870931386947632,
+      "learning_rate": 4.139820686432927e-09,
+      "loss": 0.0152,
+      "step": 30500
+    },
+    {
+      "epoch": 2.0,
+      "eval_AADHAR_CARD_f1": 0.9837270341207349,
+      "eval_AGE_f1": 0.9633416458852868,
+      "eval_CITY_f1": 0.9842361227570016,
+      "eval_COUNTRY_f1": 0.9843467790487658,
+      "eval_CREDITCARDCVV_f1": 0.9878760664571171,
+      "eval_CREDITCARDNUMBER_f1": 0.9416398138202648,
+      "eval_DATEOFBIRTH_f1": 0.9023332645054718,
+      "eval_DATE_f1": 0.9600118046333186,
+      "eval_EMAIL_f1": 0.990012854741422,
+      "eval_EXPIRYDATE_f1": 0.9912280701754386,
+      "eval_ORGANIZATION_f1": 0.991032304086416,
+      "eval_PAN_CARD_f1": 0.9867424242424242,
+      "eval_PERSON_f1": 0.9877905928996216,
+      "eval_PHONENUMBER_f1": 0.9857583321098224,
+      "eval_PINCODE_f1": 0.9907161803713527,
+      "eval_SECONDARYADDRESS_f1": 0.9877938061131848,
+      "eval_STATE_f1": 0.9909125815947779,
+      "eval_TIME_f1": 0.9819761530640541,
+      "eval_URL_f1": 0.9948626312262676,
+      "eval_loss": 0.020110823214054108,
+      "eval_overall_accuracy": 0.9951943362620375,
+      "eval_overall_f1": 0.9803088380243128,
+      "eval_overall_precision": 0.9744924065102607,
+      "eval_overall_recall": 0.9861951192640335,
+      "eval_runtime": 251.2008,
+      "eval_samples_per_second": 60.991,
+      "eval_steps_per_second": 15.251,
+      "step": 30642
+    },
+    {
+      "epoch": 2.0,
+      "step": 30642,
+      "total_flos": 1.1909329832222172e+16,
+      "train_loss": 0.06240972641763811,
+      "train_runtime": 5473.6718,
+      "train_samples_per_second": 22.391,
+      "train_steps_per_second": 5.598
+    },
+    {
+      "epoch": 2.0,
+      "eval_AADHAR_CARD_f1": 0.9837270341207349,
+      "eval_AGE_f1": 0.9633416458852868,
+      "eval_CITY_f1": 0.9842361227570016,
+      "eval_COUNTRY_f1": 0.9843467790487658,
+      "eval_CREDITCARDCVV_f1": 0.9878760664571171,
+      "eval_CREDITCARDNUMBER_f1": 0.9416398138202648,
+      "eval_DATEOFBIRTH_f1": 0.9023332645054718,
+      "eval_DATE_f1": 0.9600118046333186,
+      "eval_EMAIL_f1": 0.990012854741422,
+      "eval_EXPIRYDATE_f1": 0.9912280701754386,
+      "eval_ORGANIZATION_f1": 0.991032304086416,
+      "eval_PAN_CARD_f1": 0.9867424242424242,
+      "eval_PERSON_f1": 0.9877905928996216,
+      "eval_PHONENUMBER_f1": 0.9857583321098224,
+      "eval_PINCODE_f1": 0.9907161803713527,
+      "eval_SECONDARYADDRESS_f1": 0.9877938061131848,
+      "eval_STATE_f1": 0.9909125815947779,
+      "eval_TIME_f1": 0.9819761530640541,
+      "eval_URL_f1": 0.9948626312262676,
+      "eval_loss": 0.020110823214054108,
+      "eval_overall_accuracy": 0.9951943362620375,
+      "eval_overall_f1": 0.9803088380243128,
+      "eval_overall_precision": 0.9744924065102607,
+      "eval_overall_recall": 0.9861951192640335,
+      "eval_runtime": 249.9695,
+      "eval_samples_per_second": 61.291,
+      "eval_steps_per_second": 15.326,
+      "step": 30642
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 30642,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "total_flos": 1.1909329832222172e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}