pramudyalyza
commited on
Commit
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End of training
Browse files- README.md +58 -0
- config.json +37 -0
- model.safetensors +3 -0
- runs/Oct10_14-44-30_278e161f90ec/events.out.tfevents.1728571477.278e161f90ec.870.0 +3 -0
- runs/Oct10_14-44-30_278e161f90ec/events.out.tfevents.1728571545.278e161f90ec.870.1 +3 -0
- runs/Oct10_14-47-26_278e161f90ec/events.out.tfevents.1728571651.278e161f90ec.870.2 +3 -0
- runs/Oct10_14-47-26_278e161f90ec/events.out.tfevents.1728571748.278e161f90ec.870.3 +3 -0
- runs/Oct10_14-50-03_278e161f90ec/events.out.tfevents.1728571811.278e161f90ec.870.4 +3 -0
- runs/Oct10_14-50-03_278e161f90ec/events.out.tfevents.1728571915.278e161f90ec.870.5 +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: mit
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base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-indonesian-finetuned-news
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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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# bert-indonesian-finetuned-news
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This model is a fine-tuned version of [ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.1852
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- eval_model_preparation_time: 0.0032
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- eval_accuracy: 0.73
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- eval_runtime: 0.7599
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- eval_samples_per_second: 131.604
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- eval_steps_per_second: 17.109
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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: 2e-05
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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: 70
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- num_epochs: 7
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Positive",
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"1": "Neutral",
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"2": "Negative"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Negative": 2,
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"Neutral": 1,
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"Positive": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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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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runs/Oct10_14-44-30_278e161f90ec/events.out.tfevents.1728571477.278e161f90ec.870.0
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runs/Oct10_14-50-03_278e161f90ec/events.out.tfevents.1728571811.278e161f90ec.870.4
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runs/Oct10_14-50-03_278e161f90ec/events.out.tfevents.1728571915.278e161f90ec.870.5
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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