Initial Commit
Browse files- README.md +13 -13
- eval_results_ml.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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- name: F1
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type: f1
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value: 0.
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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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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the massive dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7999125539705962
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- name: F1
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type: f1
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value: 0.7608456488954072
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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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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the massive dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3792
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- Accuracy: 0.7999
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- F1: 0.7608
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| 0.4658 | 0.56 | 5000 | 0.9703 | 0.7825 | 0.7290 |
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| 0.2748 | 1.11 | 10000 | 0.9829 | 0.7934 | 0.7386 |
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| 0.237 | 1.67 | 15000 | 1.0459 | 0.7881 | 0.7348 |
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| 0.1545 | 2.22 | 20000 | 1.1641 | 0.7920 | 0.7544 |
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| 0.1482 | 2.78 | 25000 | 1.1840 | 0.7951 | 0.7528 |
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| 0.1076 | 3.33 | 30000 | 1.2621 | 0.7933 | 0.7504 |
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| 0.0974 | 3.89 | 35000 | 1.3127 | 0.7972 | 0.7566 |
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| 0.0654 | 4.45 | 40000 | 1.3792 | 0.7999 | 0.7608 |
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### Framework versions
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eval_results_ml.json
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{"
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{"ms-MY": {"f1": 0.755184517682663, "accuracy": 0.8197713517148622}, "ru-RU": {"f1": 0.8404649865240412, "accuracy": 0.8839946200403497}, "sl-SL": {"f1": 0.7142929269137182, "accuracy": 0.7706792199058508}, "id-ID": {"f1": 0.8246887253152472, "accuracy": 0.8769334229993275}, "bn-BD": {"f1": 0.8247876849796064, "accuracy": 0.8587760591795561}, "sq-AL": {"f1": 0.6984789952287451, "accuracy": 0.7642905178211163}, "ml-IN": {"f1": 0.7200647069549447, "accuracy": 0.7921990585070612}, "ca-ES": {"f1": 0.7780139777105972, "accuracy": 0.8227975790181573}, "fa-IR": {"f1": 0.7828879257554113, "accuracy": 0.839609952925353}, "hi-IN": {"f1": 0.8190532395252621, "accuracy": 0.8678547410894418}, "ka-GE": {"f1": 0.791527553143665, "accuracy": 0.8238063214525891}, "nb-NO": {"f1": 0.814225494373776, "accuracy": 0.8638197713517148}, "es-ES": {"f1": 0.8395680057505499, "accuracy": 0.8725622057834567}, "fi-FI": {"f1": 0.8302401412764622, "accuracy": 0.863483523873571}, "my-MM": {"f1": 0.8111476911227901, "accuracy": 0.8507061197041023}, "de-DE": {"f1": 0.8243485334268154, "accuracy": 0.8691997310020175}, "pt-PT": {"f1": 0.8341437582413316, "accuracy": 0.8725622057834567}, "hy-AM": {"f1": 0.8057703225612072, "accuracy": 0.855749831876261}, "zh-CN": {"f1": 0.8243995269287988, "accuracy": 0.863147276395427}, "sv-SE": {"f1": 0.8096307714102047, "accuracy": 0.8564223268325487}, "cy-GB": {"f1": 0.3399130937753805, "accuracy": 0.44586415601882984}, "am-ET": {"f1": 0.45030975843903426, "accuracy": 0.5494283792871554}, "he-IL": {"f1": 0.7474677237965811, "accuracy": 0.8049764626765299}, "ta-IN": {"f1": 0.6840698870102281, "accuracy": 0.7595830531271015}, "hu-HU": {"f1": 0.8129340813566108, "accuracy": 0.867182246133154}, "af-ZA": {"f1": 0.7319370890419808, "accuracy": 0.7837928715534633}, "vi-VN": {"f1": 0.8325810276108729, "accuracy": 0.8705447209145931}, "kn-IN": {"f1": 0.6971373868781806, "accuracy": 0.7686617350369872}, "te-IN": {"f1": 0.7102218885792838, "accuracy": 0.7747141896435776}, "ko-KR": {"f1": 0.8357864696943907, "accuracy": 0.8678547410894418}, "el-GR": {"f1": 0.8279123711566073, "accuracy": 0.8722259583053127}, "tl-PH": {"f1": 0.5198509694476842, "accuracy": 0.6072629455279085}, "it-IT": {"f1": 0.7783496258003446, "accuracy": 0.8500336247478144}, "sw-KE": {"f1": 0.5578775065309984, "accuracy": 0.6392064559515803}, "zh-TW": {"f1": 0.8196080854483003, "accuracy": 0.8473436449226631}, "mn-MN": {"f1": 0.6630513630452713, "accuracy": 0.7431069266980498}, "th-TH": {"f1": 0.7764025018114997, "accuracy": 0.8180901143241426}, "nl-NL": {"f1": 0.8006919164778851, "accuracy": 0.8547410894418291}, "ro-RO": {"f1": 0.7572700688785169, "accuracy": 0.8268325487558843}, "is-IS": {"f1": 0.8165307072557275, "accuracy": 0.8577673167451244}, "jv-ID": {"f1": 0.8065064318031815, "accuracy": 0.8523873570948218}, "en-US": {"f1": 0.8589647378462507, "accuracy": 0.8880295897780767}, "ur-PK": {"f1": 0.6558774933438418, "accuracy": 0.7310020174848688}, "da-DK": {"f1": 0.793493879502483, "accuracy": 0.8540685944855414}, "tr-TR": {"f1": 0.8258818916576693, "accuracy": 0.8705447209145931}, "ja-JP": {"f1": 0.8389201812660202, "accuracy": 0.8806321452589105}, "ar-SA": {"f1": 0.7844486971180629, "accuracy": 0.8305312710154674}, "pl-PL": {"f1": 0.7911983726621498, "accuracy": 0.847679892400807}, "az-AZ": {"f1": 0.7352354322141648, "accuracy": 0.8012777404169469}, "km-KH": {"f1": 0.6502818436658924, "accuracy": 0.6933422999327505}, "lv-LV": {"f1": 0.838717190888265, "accuracy": 0.8648285137861466}, "fr-FR": {"f1": 0.8278661970965807, "accuracy": 0.875252185608608}, "all": {"f1": 0.7633486668020143, "accuracy": 0.8131175314262066}}
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pytorch_model.bin
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training_args.bin
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