Model save

README.md

@@ -0,0 +1,100 @@
+---
+license: apache-2.0
+base_model: Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion
+tags:
+- generated_from_trainer
+datasets:
+- indonlu
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: indonesian-distilbert-base-cased-finetuned-indonlu
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: indonlu
+      type: indonlu
+      config: emot
+      split: validation
+      args: emot
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6113636363636363
+    - name: Precision
+      type: precision
+      value: 0.6057688190944959
+    - name: Recall
+      type: recall
+      value: 0.6113636363636363
+    - name: F1
+      type: f1
+      value: 0.6068671444135532
+---
+
+<!-- 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. -->
+
+# indonesian-distilbert-base-cased-finetuned-indonlu
+
+This model is a fine-tuned version of [Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion](https://huggingface.co/Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion) on the indonlu dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1300
+- Accuracy: 0.6114
+- Precision: 0.6058
+- Recall: 0.6114
+- F1: 0.6069
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 221  | 1.2623          | 0.475    | 0.4817    | 0.475  | 0.4458 |
+| No log        | 2.0   | 442  | 1.0937          | 0.55     | 0.5555    | 0.55   | 0.5444 |
+| 1.2289        | 3.0   | 663  | 1.0749          | 0.5886   | 0.6003    | 0.5886 | 0.5898 |
+| 1.2289        | 4.0   | 884  | 1.0836          | 0.5818   | 0.6019    | 0.5818 | 0.5800 |
+| 0.7857        | 5.0   | 1105 | 1.1300          | 0.6114   | 0.6058    | 0.6114 | 0.6069 |
+| 0.7857        | 6.0   | 1326 | 1.1595          | 0.6      | 0.5996    | 0.6    | 0.5984 |
+| 0.5288        | 7.0   | 1547 | 1.1767          | 0.6      | 0.5986    | 0.6    | 0.5958 |
+| 0.5288        | 8.0   | 1768 | 1.2195          | 0.6      | 0.5969    | 0.6    | 0.5952 |
+| 0.5288        | 9.0   | 1989 | 1.2422          | 0.5932   | 0.5915    | 0.5932 | 0.5909 |
+| 0.3685        | 10.0  | 2210 | 1.2406          | 0.5841   | 0.5842    | 0.5841 | 0.5830 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf057254dae000a531117f7bd3ff7b4aaf97a9edcb12023aee4d513a0ee024a6
+oid sha256:72f82c671f1e4851c95f42ce697ebe32c97e016717ffbc5dfabb278a2d27871e
 size 541326604

runs/Mar04_07-00-31_1b059dd88d36/events.out.tfevents.1709535632.1b059dd88d36.154.16

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3fe33f97bfb93182e75a673c6ba9018ed9a01f9bbeb4af1f44c5829c417a0eb4
-size 9922
+oid sha256:0089cd891d2fd6e263018761bad82d0cb7aab8caa2e239cbd6d960c61a35c7f8
+size 10276

runs/Mar04_07-00-31_1b059dd88d36/events.out.tfevents.1709536503.1b059dd88d36.154.17

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:346aa32126788d51cea0463b2d11473021699c02ba83c716285f2c77449126bf
+size 560