Initial Commit

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8643440917174317
+      value: 0.8577887926141738
     - name: F1
       type: f1
-      value: 0.8368032657773605
+      value: 0.8335554213502777
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the massive dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0026
-- Accuracy: 0.8643
-- F1: 0.8368
+- Loss: 0.9178
+- Accuracy: 0.8578
+- F1: 0.8336
 
 ## Model description
 
@@ -69,23 +69,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| 0.5131        | 0.27  | 5000  | 0.6674          | 0.8368   | 0.7780 |
-| 0.3715        | 0.53  | 10000 | 0.6554          | 0.8527   | 0.8145 |
-| 0.3066        | 0.8   | 15000 | 0.6924          | 0.8471   | 0.8103 |
-| 0.2194        | 1.07  | 20000 | 0.7348          | 0.8548   | 0.8238 |
-| 0.2112        | 1.34  | 25000 | 0.7297          | 0.8581   | 0.8288 |
-| 0.1907        | 1.6   | 30000 | 0.7308          | 0.8558   | 0.8288 |
-| 0.1816        | 1.87  | 35000 | 0.7785          | 0.8565   | 0.8281 |
-| 0.1297        | 2.14  | 40000 | 0.8493          | 0.8567   | 0.8278 |
-| 0.127         | 2.41  | 45000 | 0.8757          | 0.8576   | 0.8310 |
-| 0.1148        | 2.67  | 50000 | 0.8581          | 0.8577   | 0.8300 |
-| 0.1287        | 2.94  | 55000 | 0.8479          | 0.8597   | 0.8341 |
-| 0.0875        | 3.21  | 60000 | 0.8763          | 0.8656   | 0.8392 |
-| 0.0832        | 3.47  | 65000 | 0.9379          | 0.8620   | 0.8341 |
-| 0.0837        | 3.74  | 70000 | 0.9044          | 0.8625   | 0.8339 |
-| 0.0617        | 4.01  | 75000 | 0.9840          | 0.8618   | 0.8352 |
-| 0.0524        | 4.28  | 80000 | 0.9955          | 0.8639   | 0.8385 |
-| 0.0496        | 4.54  | 85000 | 1.0026          | 0.8643   | 0.8368 |
+| 0.5269        | 0.27  | 5000  | 0.6875          | 0.8358   | 0.7817 |
+| 0.3683        | 0.53  | 10000 | 0.6940          | 0.8489   | 0.8131 |
+| 0.3073        | 0.8   | 15000 | 0.6710          | 0.8545   | 0.8198 |
+| 0.2189        | 1.07  | 20000 | 0.7507          | 0.8539   | 0.8299 |
+| 0.2276        | 1.34  | 25000 | 0.7456          | 0.8582   | 0.8347 |
+| 0.1939        | 1.6   | 30000 | 0.8157          | 0.8562   | 0.8342 |
+| 0.1852        | 1.87  | 35000 | 0.7920          | 0.8548   | 0.8269 |
+| 0.1302        | 2.14  | 40000 | 0.8574          | 0.8559   | 0.8329 |
+| 0.1273        | 2.41  | 45000 | 0.8945          | 0.8594   | 0.8330 |
+| 0.1163        | 2.67  | 50000 | 0.9178          | 0.8578   | 0.8336 |
 
 
 ### Framework versions

eval_results_ml.json

@@ -1 +1 @@
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+{"lv-LV": {"f1": 0.8352902670603334, "accuracy": 0.8624747814391392}, "km-KH": {"f1": 0.7264931946581723, "accuracy": 0.7673167451244116}, "da-DK": {"f1": 0.8297328422877612, "accuracy": 0.8802958977807667}, "is-IS": {"f1": 0.8148417670514451, "accuracy": 0.8601210490921318}, "en-US": {"f1": 0.843005128015188, "accuracy": 0.8893745796906524}, "ka-GE": {"f1": 0.7638430133324862, "accuracy": 0.8002689979825152}, "ja-JP": {"f1": 0.825423841485994, "accuracy": 0.8739071956960323}, "sw-KE": {"f1": 0.7862373993672503, "accuracy": 0.8429724277067921}, "kn-IN": {"f1": 0.8040224695677302, "accuracy": 0.851714862138534}, "ms-MY": {"f1": 0.8254439427351695, "accuracy": 0.8691997310020175}, "ru-RU": {"f1": 0.83260037394176, "accuracy": 0.8705447209145931}, "tr-TR": {"f1": 0.8202258765590649, "accuracy": 0.8665097511768661}, "bn-BD": {"f1": 0.8152332927304796, "accuracy": 0.8591123066577001}, "fr-FR": {"f1": 0.8316548758797773, "accuracy": 0.8796234028244788}, "fi-FI": {"f1": 0.8093776667593069, "accuracy": 0.8560860793544048}, "nl-NL": {"f1": 0.8288666080401599, "accuracy": 0.8759246805648958}, "el-GR": {"f1": 0.8271808018002568, "accuracy": 0.8695359784801614}, "ca-ES": {"f1": 0.8450989905417762, "accuracy": 0.8739071956960323}, "hy-AM": {"f1": 0.8023699242264121, "accuracy": 0.8527236045729657}, "pt-PT": {"f1": 0.833819178368434, "accuracy": 0.8769334229993275}, "hu-HU": {"f1": 0.822698590691138, "accuracy": 0.8739071956960323}, "tl-PH": {"f1": 0.7950666090303646, "accuracy": 0.8463349024882313}, "th-TH": {"f1": 0.8117490917318453, "accuracy": 0.8483523873570948}, "ml-IN": {"f1": 0.8131925172488219, "accuracy": 0.859448554135844}, "af-ZA": {"f1": 0.8241477009704897, "accuracy": 0.8728984532616005}, "he-IL": {"f1": 0.8136360018936042, "accuracy": 0.8560860793544048}, "zh-CN": {"f1": 0.8158428067269589, "accuracy": 0.8540685944855414}, "pl-PL": {"f1": 0.8411317137404833, "accuracy": 0.8769334229993275}, "hi-IN": {"f1": 0.8107278619204111, "accuracy": 0.8681909885675857}, "vi-VN": {"f1": 0.8167475031392697, "accuracy": 0.8651647612642905}, "am-ET": {"f1": 0.7687754823856814, "accuracy": 0.8187626092804304}, "es-ES": {"f1": 0.8342858102395978, "accuracy": 0.8762609280430397}, "fa-IR": {"f1": 0.8296548100021401, "accuracy": 0.874915938130464}, "ur-PK": {"f1": 0.791070620423384, "accuracy": 0.8503698722259583}, "my-MM": {"f1": 0.8046271946671635, "accuracy": 0.85137861466039}, "ar-SA": {"f1": 0.7816862394664001, "accuracy": 0.8190988567585743}, "ro-RO": {"f1": 0.8280240449104954, "accuracy": 0.8765971755211835}, "ta-IN": {"f1": 0.7957234413266439, "accuracy": 0.8433086751849361}, "ko-KR": {"f1": 0.8198247925926346, "accuracy": 0.8661735036987223}, "de-DE": {"f1": 0.8275643482343662, "accuracy": 0.8708809683927371}, "te-IN": {"f1": 0.8117936657024957, "accuracy": 0.8547410894418291}, "id-ID": {"f1": 0.8183025685306479, "accuracy": 0.8685272360457297}, "az-AZ": {"f1": 0.8356136102208078, "accuracy": 0.8705447209145931}, "mn-MN": {"f1": 0.7925502516075672, "accuracy": 0.8503698722259583}, "sq-AL": {"f1": 0.8249115480386553, "accuracy": 0.8705447209145931}, "it-IT": {"f1": 0.8270445317335887, "accuracy": 0.8762609280430397}, "sv-SE": {"f1": 0.8370200055439023, "accuracy": 0.8839946200403497}, "zh-TW": {"f1": 0.8174206404965747, "accuracy": 0.8406186953597848}, "sl-SL": {"f1": 0.8159630096753305, "accuracy": 0.8705447209145931}, "jv-ID": {"f1": 0.787971780893736, "accuracy": 0.8338937457969066}, "nb-NO": {"f1": 0.8381917130725081, "accuracy": 0.8769334229993275}, "cy-GB": {"f1": 0.7559919355079906, "accuracy": 0.8298587760591796}, "all": {"f1": 0.8137383454751138, "accuracy": 0.8591252392530133}}

pytorch_model.bin

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training_args.bin

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