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-r2a1d0.05-0
+  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-r2a1d0.05-0
+
+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: 0.3642
+- Accuracy: 0.8346
+- Precision: 0.7993
+- Recall: 0.8080
+- F1: 0.8034
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5633        | 1.0   | 122  | 0.5100          | 0.7168   | 0.6536    | 0.6446 | 0.6484 |
+| 0.5083        | 2.0   | 244  | 0.4999          | 0.7243   | 0.6825    | 0.7049 | 0.6887 |
+| 0.4904        | 3.0   | 366  | 0.4595          | 0.7619   | 0.7120    | 0.7065 | 0.7091 |
+| 0.4644        | 4.0   | 488  | 0.4287          | 0.7920   | 0.7520    | 0.7253 | 0.7358 |
+| 0.4439        | 5.0   | 610  | 0.4399          | 0.7519   | 0.7127    | 0.7395 | 0.7203 |
+| 0.4241        | 6.0   | 732  | 0.4027          | 0.8221   | 0.7860    | 0.7816 | 0.7837 |
+| 0.4092        | 7.0   | 854  | 0.4019          | 0.8070   | 0.7674    | 0.7835 | 0.7743 |
+| 0.3891        | 8.0   | 976  | 0.3805          | 0.8271   | 0.7912    | 0.7926 | 0.7919 |
+| 0.3777        | 9.0   | 1098 | 0.3789          | 0.8271   | 0.7912    | 0.7926 | 0.7919 |
+| 0.369         | 10.0  | 1220 | 0.3758          | 0.8396   | 0.8071    | 0.8040 | 0.8055 |
+| 0.3531        | 11.0  | 1342 | 0.3805          | 0.8296   | 0.7933    | 0.8044 | 0.7984 |
+| 0.3486        | 12.0  | 1464 | 0.3801          | 0.8321   | 0.7960    | 0.8112 | 0.8027 |
+| 0.3472        | 13.0  | 1586 | 0.3675          | 0.8421   | 0.8098    | 0.8083 | 0.8091 |
+| 0.3379        | 14.0  | 1708 | 0.3654          | 0.8371   | 0.8032    | 0.8047 | 0.8040 |
+| 0.3353        | 15.0  | 1830 | 0.3703          | 0.8421   | 0.8080    | 0.8183 | 0.8127 |
+| 0.3213        | 16.0  | 1952 | 0.3709          | 0.8371   | 0.8019    | 0.8147 | 0.8077 |
+| 0.3214        | 17.0  | 2074 | 0.3641          | 0.8371   | 0.8024    | 0.8097 | 0.8059 |
+| 0.3225        | 18.0  | 2196 | 0.3640          | 0.8371   | 0.8024    | 0.8097 | 0.8059 |
+| 0.3159        | 19.0  | 2318 | 0.3649          | 0.8346   | 0.7993    | 0.8080 | 0.8034 |
+| 0.3195        | 20.0  | 2440 | 0.3642          | 0.8346   | 0.7993    | 0.8080 | 0.8034 |
+
+
+### 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/May17_14-15-30_indolem-petl-vm/events.out.tfevents.1715955336.indolem-petl-vm.1302392.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f56083df4fdfe5d82085393d2a4fbd2142ccccf07da5eb05ae30fc21a838f592
-size 18293
+oid sha256:e26fd7ed6d4930cd6df6f38ec91b17b731770c81455db813d1f71c4b9cb19d97
+size 19330

sentiment-lora/adapter_config.json

@@ -0,0 +1,26 @@
+{
+  "config": {
+    "alpha": 1,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.05,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 2,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "2a03db0209186bb9",
+  "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:f1b84e69aa00dbd4e47c673c3228eaf874474515179ffa79bd1aa5c5c824b86a
+size 312742

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 sha256:01e161424632822767d7a7bd0401c792ab96819a1c230e30d16d023f894c8f2a
+size 2370664