Model save

README.md

@@ -0,0 +1,100 @@
+---
+license: apache-2.0
+base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
+tags:
+- generated_from_trainer
+datasets:
+- indonlu
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: sentiment2
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: indonlu
+      type: indonlu
+      config: smsa
+      split: validation
+      args: smsa
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.915079365079365
+    - name: Precision
+      type: precision
+      value: 0.9152979362942885
+    - name: Recall
+      type: recall
+      value: 0.915079365079365
+    - name: F1
+      type: f1
+      value: 0.9149940431800128
+---
+
+<!-- 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. -->
+
+# sentiment2
+
+This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on the indonlu dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6085
+- Accuracy: 0.9151
+- Precision: 0.9153
+- Recall: 0.9151
+- F1: 0.9150
+
+## 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: 5e-05
+- train_batch_size: 40
+- eval_batch_size: 40
+- 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   | 275  | 0.2543          | 0.9190   | 0.9213    | 0.9190 | 0.9196 |
+| 0.2191        | 2.0   | 550  | 0.2710          | 0.9143   | 0.9133    | 0.9143 | 0.9134 |
+| 0.2191        | 3.0   | 825  | 0.3715          | 0.9135   | 0.9144    | 0.9135 | 0.9114 |
+| 0.0714        | 4.0   | 1100 | 0.4751          | 0.9071   | 0.9085    | 0.9071 | 0.9077 |
+| 0.0714        | 5.0   | 1375 | 0.4859          | 0.9206   | 0.9214    | 0.9206 | 0.9203 |
+| 0.0263        | 6.0   | 1650 | 0.5383          | 0.9143   | 0.9155    | 0.9143 | 0.9143 |
+| 0.0263        | 7.0   | 1925 | 0.5630          | 0.9167   | 0.9166    | 0.9167 | 0.9165 |
+| 0.0126        | 8.0   | 2200 | 0.5916          | 0.9151   | 0.9151    | 0.9151 | 0.9146 |
+| 0.0126        | 9.0   | 2475 | 0.6073          | 0.9135   | 0.9130    | 0.9135 | 0.9131 |
+| 0.0056        | 10.0  | 2750 | 0.6085          | 0.9151   | 0.9153    | 0.9151 | 0.9150 |
+
+
+### 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:c32b528be69af042d606a3c060fbfca8ff1029cf70d5b83cf40f42c8ca95383b
+oid sha256:72d9fd7b9581af22e987ff31fa88008acf23d0ae5a31ed3cfc8baf2fd8d888b5
 size 541320452

runs/Feb26_08-34-35_1670e0bb0f9b/events.out.tfevents.1708936475.1670e0bb0f9b.17494.6

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:89f478fcd2c8027fd56e099440709fcc529634f8f0aba181cb3f8358ce01f533
-size 9374
+oid sha256:5c221c92919ecd7c368da4b0b3f93e2ad8a5f0649ea99353739213bd032b0ec4
+size 10200

runs/Feb26_08-34-35_1670e0bb0f9b/events.out.tfevents.1708936845.1670e0bb0f9b.17494.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6434fdbb92499567ea76dadc5721f1a1844cdd8c29b3dd43361f727e85dd1ebc
+size 560