End of training

README.md

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+---
+license: mit
+base_model: w11wo/malaysian-distilbert-small
+tags:
+- generated_from_trainer
+model-index:
+- name: malaysian-distilbert-small-large-dataset
+  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. -->
+
+# malaysian-distilbert-small-large-dataset
+
+This model is a fine-tuned version of [w11wo/malaysian-distilbert-small](https://huggingface.co/w11wo/malaysian-distilbert-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.4255
+- eval_accuracy: {'accuracy': 0.8245709615908472}
+- eval_f1score: {'f1': 0.8244477338404879}
+- eval_runtime: 121.8481
+- eval_samples_per_second: 60.255
+- eval_steps_per_second: 7.534
+- step: 0
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5139
+- num_epochs: 7
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "w11wo/malaysian-distilbert-small",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0",
+  "vocab_size": 30522
+}

model.safetensors

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runs/Nov07_02-09-59_e8721662e6fa/events.out.tfevents.1699323005.e8721662e6fa.723.0

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training_args.bin

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