Model save
Browse files- README.md +85 -0
- default/head_config.json +19 -0
- default/pytorch_model_head.bin +3 -0
- runs/May18_07-44-52_indolem-petl-vm/events.out.tfevents.1716018296.indolem-petl-vm.1646883.0 +2 -2
- sentiment-ia3/adapter_config.json +26 -0
- sentiment-ia3/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-ia3
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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-ia3
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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: 0.4042
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- Accuracy: 0.8145
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- Precision: 0.7763
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- Recall: 0.7763
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- F1: 0.7763
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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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| 0.5636 | 1.0 | 122 | 0.5070 | 0.7243 | 0.6575 | 0.6274 | 0.6354 |
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| 0.5128 | 2.0 | 244 | 0.5015 | 0.7343 | 0.6911 | 0.7120 | 0.6976 |
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| 0.4941 | 3.0 | 366 | 0.4709 | 0.7469 | 0.6955 | 0.6984 | 0.6969 |
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| 0.4702 | 4.0 | 488 | 0.4496 | 0.7744 | 0.7275 | 0.7154 | 0.7207 |
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| 0.4704 | 5.0 | 610 | 0.4521 | 0.7719 | 0.7270 | 0.7386 | 0.7320 |
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| 0.4616 | 6.0 | 732 | 0.4490 | 0.7644 | 0.7175 | 0.7258 | 0.7213 |
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| 0.4543 | 7.0 | 854 | 0.4381 | 0.7820 | 0.7389 | 0.7532 | 0.7449 |
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| 0.4532 | 8.0 | 976 | 0.4197 | 0.8070 | 0.7744 | 0.7385 | 0.7519 |
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| 0.4517 | 9.0 | 1098 | 0.4195 | 0.7970 | 0.7551 | 0.7539 | 0.7545 |
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| 0.4438 | 10.0 | 1220 | 0.4102 | 0.8170 | 0.8013 | 0.7330 | 0.7540 |
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| 0.4389 | 11.0 | 1342 | 0.4112 | 0.8271 | 0.7933 | 0.7826 | 0.7876 |
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| 0.4428 | 12.0 | 1464 | 0.4179 | 0.7970 | 0.7555 | 0.7664 | 0.7604 |
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| 0.4421 | 13.0 | 1586 | 0.4030 | 0.8321 | 0.8110 | 0.7662 | 0.7828 |
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| 0.4403 | 14.0 | 1708 | 0.4037 | 0.8321 | 0.8014 | 0.7837 | 0.7915 |
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| 0.4392 | 15.0 | 1830 | 0.4077 | 0.8221 | 0.7852 | 0.7866 | 0.7859 |
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| 0.4329 | 16.0 | 1952 | 0.4062 | 0.8195 | 0.7820 | 0.7848 | 0.7834 |
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| 0.4338 | 17.0 | 2074 | 0.4058 | 0.8145 | 0.7761 | 0.7788 | 0.7774 |
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| 0.4407 | 18.0 | 2196 | 0.4042 | 0.8145 | 0.7763 | 0.7763 | 0.7763 |
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| 0.4329 | 19.0 | 2318 | 0.4033 | 0.8195 | 0.7827 | 0.7798 | 0.7812 |
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| 0.4292 | 20.0 | 2440 | 0.4042 | 0.8145 | 0.7763 | 0.7763 | 0.7763 |
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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_07-44-52_indolem-petl-vm/events.out.tfevents.1716018296.indolem-petl-vm.1646883.0
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sentiment-ia3/adapter_config.json
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{
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"config": {
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"alpha": 1,
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"architecture": "lora",
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"attn_matrices": [
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"k",
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"v"
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],
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"composition_mode": "scale",
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"dropout": 0.0,
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"init_weights": "ia3",
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"intermediate_lora": true,
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"leave_out": [],
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"output_lora": false,
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"r": 1,
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"selfattn_lora": true,
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"use_gating": false
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},
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"config_id": "1ebb5af107e576c0",
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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-ia3",
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"version": "0.2.0"
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}
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sentiment-ia3/pytorch_adapter.bin
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version https://git-lfs.github.com/spec/v1
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size 234538
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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:a970808d8c07260b7fca464be410e5d54bca1b76e77d7436d90e9525a46eb95d
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size 2370664
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