End of training
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README.md
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---
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license: mit
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base_model: w11wo/malaysian-distilbert-small
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tags:
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- generated_from_trainer
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model-index:
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- name: malaysian-distilbert-small-dataset
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# malaysian-distilbert-small-dataset
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This model is a fine-tuned version of [w11wo/malaysian-distilbert-small](https://huggingface.co/w11wo/malaysian-distilbert-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0
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- eval_accuracy: {'accuracy': 1.0}
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- eval_f1score: {'f1': 1.0}
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- eval_runtime: 14.4622
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- eval_samples_per_second: 50.96
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- eval_steps_per_second: 6.431
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- step: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 515
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- num_epochs: 7
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "w11wo/malaysian-distilbert-small",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "negative",
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"1": "positive"
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},
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"initializer_range": 0.02,
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"label2id": {
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"negative": 0,
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"positive": 1
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.35.0",
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5695c95b31a7af4971bc74d3213fb396094073399644e4b766fc0ea7e54b1162
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size 267832560
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runs/Nov13_08-18-52_07bec0f4771e/events.out.tfevents.1699863538.07bec0f4771e.1104.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:0dd78dad59a59c2ea8b749daccbcb3bd44ca620fefdc39dccf1c5564d596a25a
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size 6386
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runs/Nov13_08-18-52_07bec0f4771e/events.out.tfevents.1699864580.07bec0f4771e.1104.1
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version https://git-lfs.github.com/spec/v1
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size 297
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:406c26ab398301b2afefa0d406fb407ae29e4b081f5450cfd35cbeaacf90a685
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size 4664
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