End of training

README.md

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+---
+license: mit
+base_model: FacebookAI/roberta-large
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta_cosine_adamw_torch_fused
+  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. -->
+
+# roberta_cosine_adamw_torch_fused
+
+This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4842
+- F1 macro: 0.2732
+- Weighted: 0.4704
+- Balanced accuracy: 0.3585
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
+| 1.936         | 1.0   | 77   | 1.9420          | 0.0143   | 0.0070   | 0.125             |
+| 1.747         | 2.0   | 154  | 1.7184          | 0.1319   | 0.2747   | 0.2271            |
+| 1.6439        | 3.0   | 231  | 1.7182          | 0.1717   | 0.2495   | 0.2961            |
+| 1.5361        | 4.0   | 308  | 1.4554          | 0.2328   | 0.4842   | 0.3004            |
+| 1.3294        | 5.0   | 385  | 1.5815          | 0.2189   | 0.3779   | 0.3188            |
+| 1.1602        | 6.0   | 462  | 1.5172          | 0.2386   | 0.4371   | 0.3296            |
+| 1.2601        | 7.0   | 539  | 1.4842          | 0.2732   | 0.4704   | 0.3585            |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "FacebookAI/roberta-large",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "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": 1024,
+  "id2label": {
+    "0": "Sumber Daya Alam",
+    "1": "Politik",
+    "2": "Demografi",
+    "3": "Pertahanan dan Keamanan",
+    "4": "Ideologi",
+    "5": "Ekonomi",
+    "6": "Sosial Budaya",
+    "7": "Geografi"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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runs/Jun19_18-46-37_817494848e48/events.out.tfevents.1718822803.817494848e48.12214.0

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training_args.bin

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