Model save

README.md

@@ -0,0 +1,85 @@
+---
+license: mit
+base_model: indolem/indobert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: sentiment-pt-pl10-2
+  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. -->
+
+# sentiment-pt-pl10-2
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3132
+- Accuracy: 0.8947
+- Precision: 0.8743
+- Recall: 0.8705
+- F1: 0.8724
+
+## 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: 30
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5494        | 1.0   | 122  | 0.5033          | 0.7318   | 0.6683    | 0.6278 | 0.6369 |
+| 0.4551        | 2.0   | 244  | 0.4276          | 0.7769   | 0.7434    | 0.7797 | 0.7522 |
+| 0.3731        | 3.0   | 366  | 0.3508          | 0.8396   | 0.8294    | 0.7665 | 0.7879 |
+| 0.3032        | 4.0   | 488  | 0.3237          | 0.8672   | 0.8353    | 0.8635 | 0.8466 |
+| 0.2718        | 5.0   | 610  | 0.3102          | 0.8722   | 0.8445    | 0.8496 | 0.8470 |
+| 0.2642        | 6.0   | 732  | 0.3006          | 0.8747   | 0.8451    | 0.8613 | 0.8524 |
+| 0.2394        | 7.0   | 854  | 0.3013          | 0.8722   | 0.8544    | 0.8296 | 0.8404 |
+| 0.2234        | 8.0   | 976  | 0.2904          | 0.8797   | 0.8572    | 0.8499 | 0.8534 |
+| 0.2098        | 9.0   | 1098 | 0.2984          | 0.8897   | 0.8625    | 0.8795 | 0.8701 |
+| 0.2029        | 10.0  | 1220 | 0.3189          | 0.8822   | 0.8762    | 0.8317 | 0.8495 |
+| 0.1917        | 11.0  | 1342 | 0.2848          | 0.8847   | 0.8648    | 0.8534 | 0.8588 |
+| 0.1797        | 12.0  | 1464 | 0.3003          | 0.8772   | 0.8535    | 0.8481 | 0.8507 |
+| 0.1658        | 13.0  | 1586 | 0.3010          | 0.8847   | 0.8634    | 0.8559 | 0.8595 |
+| 0.1551        | 14.0  | 1708 | 0.3077          | 0.8847   | 0.8589    | 0.8659 | 0.8623 |
+| 0.1517        | 15.0  | 1830 | 0.3014          | 0.8947   | 0.8789    | 0.8630 | 0.8704 |
+| 0.1532        | 16.0  | 1952 | 0.3067          | 0.8947   | 0.8718    | 0.8755 | 0.8737 |
+| 0.136         | 17.0  | 2074 | 0.3174          | 0.8897   | 0.8670    | 0.8670 | 0.8670 |
+| 0.1438        | 18.0  | 2196 | 0.3129          | 0.8897   | 0.8682    | 0.8645 | 0.8663 |
+| 0.1507        | 19.0  | 2318 | 0.3165          | 0.8922   | 0.8734    | 0.8637 | 0.8683 |
+| 0.1326        | 20.0  | 2440 | 0.3132          | 0.8947   | 0.8743    | 0.8705 | 0.8724 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.15.2

default/head_config.json

@@ -0,0 +1,19 @@
+{
+  "config": {
+    "activation_function": "gelu",
+    "bias": true,
+    "embedding_size": 768,
+    "head_type": "masked_lm",
+    "label2id": null,
+    "layer_norm": true,
+    "layers": 2,
+    "shift_labels": false,
+    "vocab_size": 31923
+  },
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "default",
+  "version": "0.2.0"
+}

default/pytorch_model_head.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a181f0177f3154142b57d9cab72a7e6f72dea1fe172d1a480ff543e0c17b0f3f
+size 100566390

runs/May25_19-44-11_indolem-petl-vm/events.out.tfevents.1716666257.indolem-petl-vm.2422971.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:08a1408cbcbdb12be1dae62d6cdf006308bbb281ab200f58a2b311d7b70f99ad
-size 18321
+oid sha256:fc39dfd1adbcbe9d32d2db3742832cc1438289dd8d4c09a052f4eaa879a8dcd8
+size 19358

sentiment-pt/adapter_config.json

@@ -0,0 +1,22 @@
+{
+  "config": {
+    "architecture": "prefix_tuning",
+    "bottleneck_size": 512,
+    "cross_prefix": true,
+    "dropout": 0.0,
+    "encoder_prefix": true,
+    "flat": false,
+    "leave_out": [],
+    "non_linearity": "tanh",
+    "prefix_length": 10,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "config_id": "e21f5a7ac06e3fee",
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "sentiment-pt",
+  "version": "0.2.0"
+}

sentiment-pt/pytorch_adapter.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:023579abffb8ba6994eb7dcb163278bcb27c5d59df5a6ea1b92d5c50c3b3acdc
+size 39442516

sentiment/head_config.json

@@ -0,0 +1,21 @@
+{
+  "config": {
+    "activation_function": "tanh",
+    "bias": true,
+    "dropout_prob": null,
+    "head_type": "classification",
+    "label2id": {
+      "0": 0,
+      "1": 1
+    },
+    "layers": 2,
+    "num_labels": 2,
+    "use_pooler": false
+  },
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "sentiment",
+  "version": "0.2.0"
+}

sentiment/pytorch_model_head.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a88c41d444a153ff43fa7d5806a3d707e7f159eaaac394df70b9051fd710320
+size 2370664