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-lora-r8a1d0.2-0
+  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-lora-r8a1d0.2-0
+
+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: 0.3274
+- Accuracy: 0.8622
+- Precision: 0.8319
+- Recall: 0.8400
+- F1: 0.8357
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5608        | 1.0   | 122  | 0.5057          | 0.7218   | 0.6593    | 0.6482 | 0.6527 |
+| 0.5012        | 2.0   | 244  | 0.4792          | 0.7519   | 0.7117    | 0.7370 | 0.7193 |
+| 0.4628        | 3.0   | 366  | 0.4281          | 0.7694   | 0.7256    | 0.7419 | 0.7321 |
+| 0.4045        | 4.0   | 488  | 0.3951          | 0.8170   | 0.7803    | 0.7730 | 0.7765 |
+| 0.3701        | 5.0   | 610  | 0.4239          | 0.7995   | 0.7633    | 0.7956 | 0.7736 |
+| 0.3362        | 6.0   | 732  | 0.3721          | 0.8296   | 0.7934    | 0.8019 | 0.7974 |
+| 0.3285        | 7.0   | 854  | 0.3725          | 0.8346   | 0.7989    | 0.8205 | 0.8078 |
+| 0.3061        | 8.0   | 976  | 0.3537          | 0.8421   | 0.8087    | 0.8133 | 0.8109 |
+| 0.3017        | 9.0   | 1098 | 0.3504          | 0.8421   | 0.8087    | 0.8133 | 0.8109 |
+| 0.2942        | 10.0  | 1220 | 0.3391          | 0.8496   | 0.8186    | 0.8186 | 0.8186 |
+| 0.2715        | 11.0  | 1342 | 0.3456          | 0.8496   | 0.8169    | 0.8261 | 0.8212 |
+| 0.2703        | 12.0  | 1464 | 0.3534          | 0.8521   | 0.8190    | 0.8354 | 0.8262 |
+| 0.2759        | 13.0  | 1586 | 0.3326          | 0.8521   | 0.8228    | 0.8179 | 0.8203 |
+| 0.2705        | 14.0  | 1708 | 0.3360          | 0.8571   | 0.8266    | 0.8314 | 0.8289 |
+| 0.2576        | 15.0  | 1830 | 0.3423          | 0.8647   | 0.8340    | 0.8467 | 0.8399 |
+| 0.2513        | 16.0  | 1952 | 0.3394          | 0.8571   | 0.8251    | 0.8389 | 0.8314 |
+| 0.2481        | 17.0  | 2074 | 0.3261          | 0.8571   | 0.8273    | 0.8289 | 0.8281 |
+| 0.2561        | 18.0  | 2196 | 0.3320          | 0.8622   | 0.8314    | 0.8425 | 0.8365 |
+| 0.2478        | 19.0  | 2318 | 0.3269          | 0.8622   | 0.8326    | 0.8375 | 0.8349 |
+| 0.2451        | 20.0  | 2440 | 0.3274          | 0.8622   | 0.8319    | 0.8400 | 0.8357 |
+
+
+### 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/May26_13-47-31_indolem-petl-vm/events.out.tfevents.1716731257.indolem-petl-vm.2910115.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3fe70ac61e2c3d52176b29d6f849f5d18ca990b6302d46b08353ce76d6c6271b
-size 18339
+oid sha256:698162507144ba9ae4590f819186b4bfac49f4ae2f89733477e9d33360269bb1
+size 19376

sentiment-lora/adapter_config.json

@@ -0,0 +1,26 @@
+{
+  "config": {
+    "alpha": 1,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.2,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 8,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "3da047097700dae1",
+  "hidden_size": 768,
+  "model_class": "BertAdapterModel",
+  "model_name": "indolem/indobert-base-uncased",
+  "model_type": "bert",
+  "name": "sentiment-lora",
+  "version": "0.2.0"
+}

sentiment-lora/pytorch_adapter.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:466c9b2ce463f4012b7ee3614f5aebbc4bf991541496c34212c804b4897b01f6
+size 1197478

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:e9ab128ff893270229024284231aef8e356ee3b2c6fe7d9aba94b84f649f7c7c
+size 2370664