Initial Commit

README.md

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+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- smsa
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-normal-finetune-clf-data-smsa-model-xlm-roberta-base
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: smsa
+      type: smsa
+      config: smsa_nusantara_text
+      split: validation
+      args: smsa_nusantara_text
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9222222222222223
+    - name: F1
+      type: f1
+      value: 0.9010725836501758
+---
+
+<!-- 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. -->
+
+# scenario-normal-finetune-clf-data-smsa-model-xlm-roberta-base
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the smsa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3511
+- Accuracy: 0.9222
+- F1: 0.9011
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6969
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.29  | 100  | 0.4204          | 0.8397   | 0.6487 |
+| No log        | 0.58  | 200  | 0.3298          | 0.9095   | 0.8696 |
+| No log        | 0.87  | 300  | 0.2664          | 0.9214   | 0.8843 |
+| No log        | 1.16  | 400  | 0.2882          | 0.9151   | 0.8849 |
+| 0.3642        | 1.45  | 500  | 0.2531          | 0.9175   | 0.8808 |
+| 0.3642        | 1.74  | 600  | 0.2847          | 0.9175   | 0.8820 |
+| 0.3642        | 2.03  | 700  | 0.2889          | 0.9294   | 0.9060 |
+| 0.3642        | 2.33  | 800  | 0.3066          | 0.9270   | 0.8996 |
+| 0.3642        | 2.62  | 900  | 0.3736          | 0.9190   | 0.8914 |
+| 0.2064        | 2.91  | 1000 | 0.2706          | 0.9214   | 0.8853 |
+| 0.2064        | 3.2   | 1100 | 0.3201          | 0.9190   | 0.8878 |
+| 0.2064        | 3.49  | 1200 | 0.2372          | 0.9254   | 0.9007 |
+| 0.2064        | 3.78  | 1300 | 0.2534          | 0.9190   | 0.8904 |
+| 0.2064        | 4.07  | 1400 | 0.3266          | 0.9214   | 0.8939 |
+| 0.1543        | 4.36  | 1500 | 0.3405          | 0.9135   | 0.8815 |
+| 0.1543        | 4.65  | 1600 | 0.3485          | 0.9238   | 0.8988 |
+| 0.1543        | 4.94  | 1700 | 0.3287          | 0.9270   | 0.9011 |
+| 0.1543        | 5.23  | 1800 | 0.3631          | 0.9167   | 0.8866 |
+| 0.1543        | 5.52  | 1900 | 0.3714          | 0.9167   | 0.8922 |
+| 0.1227        | 5.81  | 2000 | 0.3030          | 0.9119   | 0.8794 |
+| 0.1227        | 6.1   | 2100 | 0.3363          | 0.9286   | 0.9046 |
+| 0.1227        | 6.4   | 2200 | 0.3511          | 0.9222   | 0.9011 |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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training_args.bin

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