Model save
Browse files- README.md +85 -0
- default/head_config.json +19 -0
- default/pytorch_model_head.bin +3 -0
- runs/May18_05-30-15_indolem-petl-vm/events.out.tfevents.1716010219.indolem-petl-vm.1595950.0 +2 -2
- sentiment-pt/adapter_config.json +22 -0
- sentiment-pt/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-pt-pl30-0
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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-pt-pl30-0
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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: 0.2913
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- Accuracy: 0.9048
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- Precision: 0.8851
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- Recall: 0.8851
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- F1: 0.8851
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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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| 0.5457 | 1.0 | 122 | 0.4753 | 0.7193 | 0.6465 | 0.5964 | 0.6014 |
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| 0.4518 | 2.0 | 244 | 0.4070 | 0.7970 | 0.7589 | 0.7864 | 0.7685 |
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| 0.3461 | 3.0 | 366 | 0.3412 | 0.8421 | 0.8231 | 0.7808 | 0.7970 |
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| 0.2958 | 4.0 | 488 | 0.3253 | 0.8546 | 0.8263 | 0.8196 | 0.8229 |
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| 0.2659 | 5.0 | 610 | 0.2941 | 0.8822 | 0.8610 | 0.8517 | 0.8561 |
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| 0.2482 | 6.0 | 732 | 0.2965 | 0.8772 | 0.8473 | 0.8681 | 0.8563 |
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| 0.2264 | 7.0 | 854 | 0.2869 | 0.8747 | 0.8447 | 0.8638 | 0.8531 |
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| 0.2218 | 8.0 | 976 | 0.2795 | 0.8997 | 0.8961 | 0.8566 | 0.8730 |
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| 0.2106 | 9.0 | 1098 | 0.2705 | 0.8922 | 0.8673 | 0.8763 | 0.8716 |
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| 0.1981 | 10.0 | 1220 | 0.2751 | 0.9073 | 0.8920 | 0.8819 | 0.8867 |
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| 0.1802 | 11.0 | 1342 | 0.2745 | 0.9048 | 0.8826 | 0.8901 | 0.8862 |
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| 0.1828 | 12.0 | 1464 | 0.2799 | 0.9073 | 0.8957 | 0.8769 | 0.8855 |
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| 0.1707 | 13.0 | 1586 | 0.2739 | 0.9098 | 0.8960 | 0.8837 | 0.8895 |
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| 0.1606 | 14.0 | 1708 | 0.2868 | 0.9073 | 0.8862 | 0.8919 | 0.8890 |
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| 0.1499 | 15.0 | 1830 | 0.2930 | 0.9023 | 0.8828 | 0.8808 | 0.8818 |
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| 0.1555 | 16.0 | 1952 | 0.3041 | 0.8947 | 0.8682 | 0.8855 | 0.8760 |
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| 0.1396 | 17.0 | 2074 | 0.2876 | 0.9023 | 0.8814 | 0.8833 | 0.8824 |
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| 0.1477 | 18.0 | 2196 | 0.2900 | 0.9048 | 0.8865 | 0.8826 | 0.8845 |
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| 0.1434 | 19.0 | 2318 | 0.2917 | 0.9048 | 0.8851 | 0.8851 | 0.8851 |
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| 0.1386 | 20.0 | 2440 | 0.2913 | 0.9048 | 0.8851 | 0.8851 | 0.8851 |
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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/May18_05-30-15_indolem-petl-vm/events.out.tfevents.1716010219.indolem-petl-vm.1595950.0
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sentiment-pt/adapter_config.json
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{
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"config": {
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"architecture": "prefix_tuning",
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"bottleneck_size": 512,
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"cross_prefix": true,
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"dropout": 0.0,
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"encoder_prefix": true,
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"flat": false,
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"leave_out": [],
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"non_linearity": "tanh",
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"prefix_length": 30,
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"shared_gating": true,
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"use_gating": false
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},
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"config_id": "648bf22f5afeaaa6",
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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-pt",
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"version": "0.2.0"
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}
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sentiment-pt/pytorch_adapter.bin
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version https://git-lfs.github.com/spec/v1
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size 39503956
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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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size 2370664
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