bert-base-multilingual-cased-intent-booking

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google-bert/bert-base-uncased
+base_model: google-bert/bert-base-multilingual-cased
 tags:
 - generated_from_trainer
 metrics:
@@ -10,22 +10,22 @@ metrics:
 - precision
 - recall
 model-index:
-- name: bert-base-uncased-intent-booking
+- name: bert-base-multilingual-cased-intent-booking
   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. -->
 
-# bert-base-uncased-intent-booking
+# bert-base-multilingual-cased-intent-booking
 
-This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1507
-- Accuracy: 0.1937
-- F1: 0.1640
-- Precision: 0.2456
-- Recall: 0.1937
+- Loss: 0.2687
+- Accuracy: 0.9144
+- F1: 0.9101
+- Precision: 0.9295
+- Recall: 0.9144
 
 ## Model description
 
@@ -51,22 +51,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 64
-- num_epochs: 10
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 2.3281        | 1.0   | 65   | 2.2466          | 0.1532   | 0.0892 | 0.0818    | 0.1532 |
-| 2.2842        | 2.0   | 130  | 2.2080          | 0.1757   | 0.1264 | 0.1989    | 0.1757 |
-| 2.241         | 3.0   | 195  | 2.1896          | 0.1847   | 0.1334 | 0.1353    | 0.1847 |
-| 2.2074        | 4.0   | 260  | 2.1692          | 0.1577   | 0.1349 | 0.3182    | 0.1577 |
-| 2.1731        | 5.0   | 325  | 2.1473          | 0.1847   | 0.1354 | 0.1976    | 0.1847 |
-| 2.1499        | 6.0   | 390  | 2.1371          | 0.1847   | 0.1455 | 0.2236    | 0.1847 |
-| 2.111         | 7.0   | 455  | 2.1510          | 0.1757   | 0.1511 | 0.2523    | 0.1757 |
-| 2.0868        | 8.0   | 520  | 2.1421          | 0.1892   | 0.1549 | 0.3178    | 0.1892 |
-| 2.0654        | 9.0   | 585  | 2.1348          | 0.2027   | 0.1896 | 0.4106    | 0.2027 |
-| 2.0593        | 10.0  | 650  | 2.1305          | 0.1982   | 0.1814 | 0.3549    | 0.1982 |
+| 2.0801        | 1.0   | 65   | 1.1259          | 0.7613   | 0.7482 | 0.8102    | 0.7613 |
+| 0.6191        | 2.0   | 130  | 0.3180          | 0.9144   | 0.9157 | 0.9225    | 0.9144 |
+| 0.2196        | 3.0   | 195  | 0.1772          | 0.9595   | 0.9593 | 0.9619    | 0.9595 |
 
 
 ### Framework versions