Training completed!

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: SingPurcBERT-Katch-0328
+  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. -->
+
+# SingPurcBERT-Katch-0328
+
+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: 0.4296
+- Accuracy: 0.8593
+- F1: 0.8593
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.384         | 1.0   | 3372  | 0.3757          | 0.8450   | 0.8445 |
+| 0.3444        | 2.0   | 6744  | 0.3650          | 0.8583   | 0.8583 |
+| 0.3386        | 3.0   | 10116 | 0.4296          | 0.8593   | 0.8593 |
+| 0.3166        | 4.0   | 13488 | 0.5125          | 0.8460   | 0.8457 |
+| 0.2781        | 5.0   | 16860 | 0.7211          | 0.8504   | 0.8502 |
+| 0.2236        | 6.0   | 20232 | 0.7112          | 0.8504   | 0.8503 |
+| 0.2008        | 7.0   | 23604 | 0.8183          | 0.8509   | 0.8509 |
+| 0.1591        | 8.0   | 26976 | 0.9926          | 0.8464   | 0.8462 |
+| 0.1103        | 9.0   | 30348 | 1.0597          | 0.8411   | 0.8409 |
+| 0.0802        | 10.0  | 33720 | 1.0660          | 0.8436   | 0.8436 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.14.5
+- Tokenizers 0.14.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee395ce8df6773bbae4759a2f37f395cea2b745076c11efaa0d2265f32e231a4
+oid sha256:6a4066a1e982726f9feffdfd6832ad7e5206320be3911fc3450ff961560b4d8f
 size 711443480

runs/Mar28_12-44-07_0551480a1390/events.out.tfevents.1711653198.0551480a1390.39161.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:087fa4bf78e306b27a46ada4d64d05217048511588af605054193b5f27378d96
+size 464