Model save
Browse files- README.md +85 -0
- default/head_config.json +19 -0
- default/pytorch_model_head.bin +3 -0
- runs/Jun03_11-31-51_a358b85c7679/events.out.tfevents.1717414321.a358b85c7679.54042.0 +2 -2
- sentiment-lora/adapter_config.json +26 -0
- sentiment-lora/pytorch_adapter.bin +3 -0
- sentiment/head_config.json +21 -0
- sentiment/pytorch_model_head.bin +3 -0
README.md
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---
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license: mit
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base_model: indolem/indobert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: sentiment-lora-r16-1
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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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# sentiment-lora-r16-1
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2834
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- Accuracy: 0.8822
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- Precision: 0.8574
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- Recall: 0.8592
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- F1: 0.8583
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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: 5e-05
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- train_batch_size: 30
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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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- num_epochs: 20.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.5612 | 1.0 | 122 | 0.5258 | 0.7268 | 0.6614 | 0.6317 | 0.6399 |
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| 0.4935 | 2.0 | 244 | 0.4827 | 0.7494 | 0.7127 | 0.7427 | 0.7201 |
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| 0.428 | 3.0 | 366 | 0.3863 | 0.8246 | 0.7874 | 0.7984 | 0.7924 |
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| 0.363 | 4.0 | 488 | 0.3415 | 0.8446 | 0.8207 | 0.7926 | 0.8043 |
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| 0.3321 | 5.0 | 610 | 0.3417 | 0.8521 | 0.8186 | 0.8429 | 0.8285 |
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| 0.3086 | 6.0 | 732 | 0.3376 | 0.8496 | 0.8158 | 0.8386 | 0.8253 |
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| 0.2899 | 7.0 | 854 | 0.3156 | 0.8722 | 0.8453 | 0.8471 | 0.8462 |
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| 0.2828 | 8.0 | 976 | 0.3073 | 0.8722 | 0.8463 | 0.8446 | 0.8454 |
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| 0.2638 | 9.0 | 1098 | 0.3156 | 0.8622 | 0.8300 | 0.8525 | 0.8395 |
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| 0.2628 | 10.0 | 1220 | 0.3002 | 0.8797 | 0.8522 | 0.8624 | 0.8570 |
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| 0.249 | 11.0 | 1342 | 0.2935 | 0.8797 | 0.8572 | 0.8499 | 0.8534 |
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| 0.2429 | 12.0 | 1464 | 0.2938 | 0.8772 | 0.8514 | 0.8531 | 0.8522 |
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| 0.2406 | 13.0 | 1586 | 0.2902 | 0.8797 | 0.8585 | 0.8474 | 0.8526 |
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| 0.2377 | 14.0 | 1708 | 0.2889 | 0.8722 | 0.8437 | 0.8521 | 0.8477 |
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| 0.2257 | 15.0 | 1830 | 0.2848 | 0.8797 | 0.8530 | 0.8599 | 0.8563 |
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| 0.2215 | 16.0 | 1952 | 0.2862 | 0.8747 | 0.8451 | 0.8613 | 0.8524 |
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| 0.2297 | 17.0 | 2074 | 0.2833 | 0.8822 | 0.8610 | 0.8517 | 0.8561 |
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| 0.2263 | 18.0 | 2196 | 0.2854 | 0.8772 | 0.8483 | 0.8631 | 0.8550 |
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| 0.2194 | 19.0 | 2318 | 0.2833 | 0.8797 | 0.8539 | 0.8574 | 0.8556 |
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| 0.214 | 20.0 | 2440 | 0.2834 | 0.8822 | 0.8574 | 0.8592 | 0.8583 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.15.2
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default/head_config.json
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{
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"config": {
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"activation_function": "gelu",
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"bias": true,
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"embedding_size": 768,
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"head_type": "masked_lm",
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"label2id": null,
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"layer_norm": true,
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"layers": 2,
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"shift_labels": false,
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"vocab_size": 31923
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},
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"hidden_size": 768,
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"model_class": "BertAdapterModel",
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"model_name": "indolem/indobert-base-uncased",
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"model_type": "bert",
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"name": "default",
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"version": "0.2.0"
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}
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default/pytorch_model_head.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a181f0177f3154142b57d9cab72a7e6f72dea1fe172d1a480ff543e0c17b0f3f
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size 100566390
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runs/Jun03_11-31-51_a358b85c7679/events.out.tfevents.1717414321.a358b85c7679.54042.0
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sentiment-lora/adapter_config.json
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{
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"config": {
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"alpha": 8,
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"architecture": "lora",
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"attn_matrices": [
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"q",
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"v"
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],
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"composition_mode": "add",
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"dropout": 0.0,
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"init_weights": "lora",
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"intermediate_lora": false,
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"leave_out": [],
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"output_lora": false,
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"r": 16,
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"selfattn_lora": true,
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"use_gating": false
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},
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"config_id": "141b248112091265",
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"hidden_size": 768,
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"model_class": "BertAdapterModel",
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"model_name": "indolem/indobert-base-uncased",
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"model_type": "bert",
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"name": "sentiment-lora",
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"version": "0.2.0"
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}
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sentiment-lora/pytorch_adapter.bin
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version https://git-lfs.github.com/spec/v1
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size 2377126
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sentiment/head_config.json
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{
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"config": {
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"activation_function": "tanh",
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"bias": true,
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"dropout_prob": null,
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"head_type": "classification",
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"label2id": {
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"0": 0,
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"1": 1
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},
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"layers": 2,
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"num_labels": 2,
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"use_pooler": false
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},
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"hidden_size": 768,
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"model_class": "BertAdapterModel",
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"model_name": "indolem/indobert-base-uncased",
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"model_type": "bert",
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"name": "sentiment",
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"version": "0.2.0"
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}
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sentiment/pytorch_model_head.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:976ce4647669241ac4e4f9c94f71cbca52393055d150f8fafbc2f49edfa6a4d7
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size 2370664
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