Model save
Browse files- README.md +85 -0
- default/head_config.json +19 -0
- default/pytorch_model_head.bin +3 -0
- runs/May19_05-59-57_indolem-petl-vm/events.out.tfevents.1716098402.indolem-petl-vm.2140784.0 +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-r8a1d0.05-1
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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-r8a1d0.05-1
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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: 0.3148
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- Accuracy: 0.8697
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- Precision: 0.8474
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- Recall: 0.8328
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- F1: 0.8395
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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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| 0.5657 | 1.0 | 122 | 0.5161 | 0.7243 | 0.6616 | 0.6474 | 0.6529 |
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| 0.5088 | 2.0 | 244 | 0.4913 | 0.7393 | 0.6917 | 0.7056 | 0.6971 |
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| 0.4682 | 3.0 | 366 | 0.4424 | 0.7845 | 0.7401 | 0.7425 | 0.7413 |
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| 0.4114 | 4.0 | 488 | 0.3980 | 0.8095 | 0.7702 | 0.7702 | 0.7702 |
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| 0.3862 | 5.0 | 610 | 0.3890 | 0.8145 | 0.7783 | 0.8088 | 0.7889 |
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| 0.3512 | 6.0 | 732 | 0.3583 | 0.8496 | 0.8245 | 0.8036 | 0.8128 |
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| 0.3428 | 7.0 | 854 | 0.3496 | 0.8521 | 0.8207 | 0.8254 | 0.8229 |
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| 0.3254 | 8.0 | 976 | 0.3425 | 0.8496 | 0.8245 | 0.8036 | 0.8128 |
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| 0.3226 | 9.0 | 1098 | 0.3388 | 0.8571 | 0.8310 | 0.8189 | 0.8245 |
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| 0.3063 | 10.0 | 1220 | 0.3376 | 0.8647 | 0.8439 | 0.8217 | 0.8315 |
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| 0.2939 | 11.0 | 1342 | 0.3319 | 0.8672 | 0.8463 | 0.8260 | 0.8351 |
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| 0.2838 | 12.0 | 1464 | 0.3323 | 0.8546 | 0.8263 | 0.8196 | 0.8229 |
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| 0.2916 | 13.0 | 1586 | 0.3283 | 0.8647 | 0.8472 | 0.8167 | 0.8296 |
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| 0.2826 | 14.0 | 1708 | 0.3244 | 0.8672 | 0.8463 | 0.8260 | 0.8351 |
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| 0.2739 | 15.0 | 1830 | 0.3231 | 0.8697 | 0.8449 | 0.8378 | 0.8412 |
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| 0.2674 | 16.0 | 1952 | 0.3221 | 0.8697 | 0.8449 | 0.8378 | 0.8412 |
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| 0.2648 | 17.0 | 2074 | 0.3193 | 0.8722 | 0.8528 | 0.8321 | 0.8413 |
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| 0.2687 | 18.0 | 2196 | 0.3172 | 0.8697 | 0.8460 | 0.8353 | 0.8404 |
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| 0.264 | 19.0 | 2318 | 0.3170 | 0.8747 | 0.8552 | 0.8363 | 0.8448 |
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| 0.2637 | 20.0 | 2440 | 0.3148 | 0.8697 | 0.8474 | 0.8328 | 0.8395 |
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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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size 100566390
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runs/May19_05-59-57_indolem-petl-vm/events.out.tfevents.1716098402.indolem-petl-vm.2140784.0
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sentiment-lora/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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"q",
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"v"
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],
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"composition_mode": "add",
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"dropout": 0.05,
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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": 8,
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"selfattn_lora": true,
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"use_gating": false
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},
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"config_id": "bb949181a19f3fc7",
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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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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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