Model save
Browse files- README.md +85 -0
- default/head_config.json +19 -0
- default/pytorch_model_head.bin +3 -0
- runs/May26_00-08-19_indolem-petl-vm/events.out.tfevents.1716682105.indolem-petl-vm.2543525.0 +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-pl30-4
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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-pl30-4
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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: 0.3072
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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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| 0.5438 | 1.0 | 122 | 0.4988 | 0.7218 | 0.6601 | 0.6507 | 0.6546 |
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| 0.4428 | 2.0 | 244 | 0.3788 | 0.8446 | 0.8107 | 0.8226 | 0.8161 |
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| 0.3441 | 3.0 | 366 | 0.3289 | 0.8596 | 0.8510 | 0.7982 | 0.8179 |
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| 0.2986 | 4.0 | 488 | 0.2884 | 0.8797 | 0.8572 | 0.8499 | 0.8534 |
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| 0.2667 | 5.0 | 610 | 0.2698 | 0.8772 | 0.8535 | 0.8481 | 0.8507 |
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| 0.2524 | 6.0 | 732 | 0.2723 | 0.8847 | 0.8609 | 0.8609 | 0.8609 |
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| 0.2343 | 7.0 | 854 | 0.3180 | 0.8647 | 0.8533 | 0.8092 | 0.8266 |
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| 0.2212 | 8.0 | 976 | 0.2949 | 0.8822 | 0.8674 | 0.8417 | 0.8529 |
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| 0.2142 | 9.0 | 1098 | 0.2828 | 0.8847 | 0.8697 | 0.8459 | 0.8565 |
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| 0.1958 | 10.0 | 1220 | 0.2887 | 0.8697 | 0.8399 | 0.8528 | 0.8458 |
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| 0.1855 | 11.0 | 1342 | 0.2868 | 0.8822 | 0.8548 | 0.8667 | 0.8603 |
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| 0.1742 | 12.0 | 1464 | 0.2981 | 0.8747 | 0.8552 | 0.8363 | 0.8448 |
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| 0.1601 | 13.0 | 1586 | 0.2930 | 0.8797 | 0.8539 | 0.8574 | 0.8556 |
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| 0.1602 | 14.0 | 1708 | 0.2979 | 0.8797 | 0.8504 | 0.8699 | 0.8590 |
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| 0.1497 | 15.0 | 1830 | 0.2969 | 0.8872 | 0.8606 | 0.8727 | 0.8662 |
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| 0.1447 | 16.0 | 1952 | 0.2963 | 0.8847 | 0.8599 | 0.8634 | 0.8616 |
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| 0.1394 | 17.0 | 2074 | 0.3018 | 0.8822 | 0.8564 | 0.8617 | 0.8590 |
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| 0.1333 | 18.0 | 2196 | 0.3065 | 0.8822 | 0.8574 | 0.8592 | 0.8583 |
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| 0.1406 | 19.0 | 2318 | 0.3062 | 0.8822 | 0.8574 | 0.8592 | 0.8583 |
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| 0.1243 | 20.0 | 2440 | 0.3072 | 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/May26_00-08-19_indolem-petl-vm/events.out.tfevents.1716682105.indolem-petl-vm.2543525.0
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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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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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