aishanur/deberta_large_hv_no_upsampling
Browse files- README.md +124 -0
- added_tokens.json +3 -0
- config.json +116 -0
- model.safetensors +3 -0
- special_tokens_map.json +15 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-large
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tags:
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- generated_from_trainer
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model-index:
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- name: deberta_large_hv_no_upsampling
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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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# deberta_large_hv_no_upsampling
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0566
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- F1-macro subtask 1: 0.2178
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- F1-micro subtask 1: 0.3264
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- Roc auc macro subtask 1: 0.5833
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- F1-macro subtask 2: 0.0469
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- F1-micro subtask 2: 0.0515
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- Roc auc macro subtask 2: 0.6196
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- Self-direction: thought1: 0.0
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- Self-direction: action1: 0.1049
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- Stimulation1: 0.1055
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- Hedonism1: 0.2167
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- Achievement1: 0.3279
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- Power: dominance1: 0.3324
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- Power: resources1: 0.1996
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- Face1: 0.1995
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- Security: personal1: 0.2380
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- Security: societal1: 0.4408
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- Tradition1: 0.3850
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- Conformity: rules1: 0.4826
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- Conformity: interpersonal1: 0.0
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- Humility1: 0.0
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- Benevolence: caring1: 0.1362
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- Benevolence: dependability1: 0.0390
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- Universalism: concern1: 0.3558
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- Universalism: nature1: 0.5436
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- Universalism: tolerance1: 0.0310
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- Self-direction: thought attained2: 0.0192
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- Self-direction: thought constrained2: 0.0086
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- Self-direction: action attained2: 0.0609
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- Self-direction: action constrained2: 0.0225
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- Stimulation attained2: 0.0618
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- Stimulation constrained2: 0.0130
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- Hedonism attained2: 0.0152
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- Hedonism constrained2: 0.0071
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- Achievement attained2: 0.1285
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- Achievement constrained2: 0.0769
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- Power: dominance attained2: 0.0732
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- Power: dominance constrained2: 0.0505
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- Power: resources attained2: 0.0837
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- Power: resources constrained2: 0.0743
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- Face attained2: 0.0216
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- Face constrained2: 0.0448
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- Security: personal attained2: 0.0173
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- Security: personal constrained2: 0.0441
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- Security: societal attained2: 0.1013
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- Security: societal constrained2: 0.1787
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- Tradition attained2: 0.0399
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- Tradition constrained2: 0.0085
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- Conformity: rules attained2: 0.1024
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- Conformity: rules constrained2: 0.0964
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- Conformity: interpersonal attained2: 0.0146
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- Conformity: interpersonal constrained2: 0.0302
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- Humility attained2: 0.0050
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- Humility constrained2: 0.0019
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- Benevolence: caring attained2: 0.0500
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- Benevolence: caring constrained2: 0.0101
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- Benevolence: dependability attained2: 0.0407
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- Benevolence: dependability constrained2: 0.0199
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- Universalism: concern attained2: 0.0816
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- Universalism: concern constrained2: 0.0610
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- Universalism: nature attained2: 0.0473
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- Universalism: nature constrained2: 0.0393
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- Universalism: tolerance attained2: 0.0118
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- Universalism: tolerance constrained2: 0.0195
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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: 2e-05
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- train_batch_size: 8
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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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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1-macro subtask 1 | F1-micro subtask 1 | Roc auc macro subtask 1 | F1-macro subtask 2 | F1-micro subtask 2 | Roc auc macro subtask 2 | Self-direction: thought1 | Self-direction: action1 | Stimulation1 | Hedonism1 | Achievement1 | Power: dominance1 | Power: resources1 | Face1 | Security: personal1 | Security: societal1 | Tradition1 | Conformity: rules1 | Conformity: interpersonal1 | Humility1 | Benevolence: caring1 | Benevolence: dependability1 | Universalism: concern1 | Universalism: nature1 | Universalism: tolerance1 | Self-direction: thought attained2 | Self-direction: thought constrained2 | Self-direction: action attained2 | Self-direction: action constrained2 | Stimulation attained2 | Stimulation constrained2 | Hedonism attained2 | Hedonism constrained2 | Achievement attained2 | Achievement constrained2 | Power: dominance attained2 | Power: dominance constrained2 | Power: resources attained2 | Power: resources constrained2 | Face attained2 | Face constrained2 | Security: personal attained2 | Security: personal constrained2 | Security: societal attained2 | Security: societal constrained2 | Tradition attained2 | Tradition constrained2 | Conformity: rules attained2 | Conformity: rules constrained2 | Conformity: interpersonal attained2 | Conformity: interpersonal constrained2 | Humility attained2 | Humility constrained2 | Benevolence: caring attained2 | Benevolence: caring constrained2 | Benevolence: dependability attained2 | Benevolence: dependability constrained2 | Universalism: concern attained2 | Universalism: concern constrained2 | Universalism: nature attained2 | Universalism: nature constrained2 | Universalism: tolerance attained2 | Universalism: tolerance constrained2 |
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|:-------------:|:-----:|:-----:|:---------------:|:------------------:|:------------------:|:-----------------------:|:------------------:|:------------------:|:-----------------------:|:------------------------:|:-----------------------:|:------------:|:---------:|:------------:|:-----------------:|:-----------------:|:------:|:-------------------:|:-------------------:|:----------:|:------------------:|:--------------------------:|:---------:|:--------------------:|:---------------------------:|:----------------------:|:---------------------:|:------------------------:|:---------------------------------:|:------------------------------------:|:--------------------------------:|:-----------------------------------:|:---------------------:|:------------------------:|:------------------:|:---------------------:|:---------------------:|:------------------------:|:--------------------------:|:-----------------------------:|:--------------------------:|:-----------------------------:|:--------------:|:-----------------:|:----------------------------:|:-------------------------------:|:----------------------------:|:-------------------------------:|:-------------------:|:----------------------:|:---------------------------:|:------------------------------:|:-----------------------------------:|:--------------------------------------:|:------------------:|:---------------------:|:-----------------------------:|:--------------------------------:|:------------------------------------:|:---------------------------------------:|:-------------------------------:|:----------------------------------:|:------------------------------:|:---------------------------------:|:---------------------------------:|:------------------------------------:|
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| 0.0635 | 1.0 | 5595 | 0.0605 | 0.0659 | 0.1339 | 0.5221 | 0.0458 | 0.0501 | 0.5899 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0812 | 0.3342 | 0.1051 | 0.0 | 0.0072 | 0.2917 | 0.0 | 0.0919 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0030 | 0.3383 | 0.0 | 0.0190 | 0.0 | 0.0512 | 0.0 | 0.0525 | 0.0083 | 0.0146 | 0.0068 | 0.1117 | 0.1019 | 0.0704 | 0.0095 | 0.0782 | 0.0900 | 0.0185 | 0.1068 | 0.0173 | 0.0453 | 0.1012 | 0.1626 | 0.0351 | 0.0034 | 0.0967 | 0.1016 | 0.0161 | 0.0300 | 0.0044 | 0.0 | 0.0444 | 0.0173 | 0.0403 | 0.0159 | 0.0742 | 0.0693 | 0.0412 | 0.0551 | 0.0158 | 0.0131 |
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| 0.0579 | 2.0 | 11190 | 0.0566 | 0.2178 | 0.3264 | 0.5833 | 0.0469 | 0.0515 | 0.6196 | 0.0 | 0.1049 | 0.1055 | 0.2167 | 0.3279 | 0.3324 | 0.1996 | 0.1995 | 0.2380 | 0.4408 | 0.3850 | 0.4826 | 0.0 | 0.0 | 0.1362 | 0.0390 | 0.3558 | 0.5436 | 0.0310 | 0.0192 | 0.0086 | 0.0609 | 0.0225 | 0.0618 | 0.0130 | 0.0152 | 0.0071 | 0.1285 | 0.0769 | 0.0732 | 0.0505 | 0.0837 | 0.0743 | 0.0216 | 0.0448 | 0.0173 | 0.0441 | 0.1013 | 0.1787 | 0.0399 | 0.0085 | 0.1024 | 0.0964 | 0.0146 | 0.0302 | 0.0050 | 0.0019 | 0.0500 | 0.0101 | 0.0407 | 0.0199 | 0.0816 | 0.0610 | 0.0473 | 0.0393 | 0.0118 | 0.0195 |
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| 0.0494 | 3.0 | 16785 | 0.0593 | 0.2890 | 0.3592 | 0.6203 | 0.0477 | 0.0517 | 0.6389 | 0.0326 | 0.2200 | 0.3066 | 0.3494 | 0.3684 | 0.3375 | 0.2974 | 0.2748 | 0.3153 | 0.4421 | 0.4372 | 0.4851 | 0.0097 | 0.0 | 0.2210 | 0.2649 | 0.3284 | 0.5909 | 0.2099 | 0.0210 | 0.0147 | 0.0642 | 0.0226 | 0.0684 | 0.0111 | 0.0150 | 0.0069 | 0.1390 | 0.0675 | 0.0769 | 0.0533 | 0.0862 | 0.0681 | 0.0234 | 0.0406 | 0.0225 | 0.0387 | 0.1132 | 0.1578 | 0.0461 | 0.0105 | 0.1287 | 0.0736 | 0.0176 | 0.0290 | 0.0067 | 0.0017 | 0.0550 | 0.0100 | 0.0440 | 0.0168 | 0.0898 | 0.0538 | 0.0513 | 0.0369 | 0.0127 | 0.0168 |
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| 0.028 | 4.0 | 22380 | 0.0640 | 0.2936 | 0.3626 | 0.6191 | 0.0479 | 0.0516 | 0.6370 | 0.0609 | 0.2275 | 0.3042 | 0.3444 | 0.3601 | 0.3445 | 0.3163 | 0.2599 | 0.3326 | 0.4429 | 0.4259 | 0.4933 | 0.075 | 0.0 | 0.2313 | 0.2688 | 0.3698 | 0.5570 | 0.1639 | 0.0202 | 0.0213 | 0.0640 | 0.0253 | 0.0699 | 0.0114 | 0.0151 | 0.0070 | 0.1318 | 0.0736 | 0.0776 | 0.0491 | 0.0847 | 0.0708 | 0.0234 | 0.0426 | 0.0210 | 0.0400 | 0.1080 | 0.1655 | 0.0419 | 0.0115 | 0.1199 | 0.0767 | 0.0161 | 0.0337 | 0.0069 | 0.0016 | 0.0564 | 0.0105 | 0.0407 | 0.0187 | 0.0811 | 0.0635 | 0.0459 | 0.0429 | 0.0131 | 0.0158 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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added_tokens.json
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{
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"[MASK]": 128000
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v3-large",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": "Self-direction: thought attained",
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"1": "Self-direction: thought constrained",
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"2": "Self-direction: action attained",
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"3": "Self-direction: action constrained",
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"4": "Stimulation attained",
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"5": "Stimulation constrained",
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"6": "Hedonism attained",
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"7": "Hedonism constrained",
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"8": "Achievement attained",
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"9": "Achievement constrained",
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"10": "Power: dominance attained",
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"11": "Power: dominance constrained",
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"12": "Power: resources attained",
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"13": "Power: resources constrained",
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"14": "Face attained",
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"15": "Face constrained",
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"16": "Security: personal attained",
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"17": "Security: personal constrained",
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"18": "Security: societal attained",
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"19": "Security: societal constrained",
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"20": "Tradition attained",
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"21": "Tradition constrained",
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"22": "Conformity: rules attained",
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"23": "Conformity: rules constrained",
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"24": "Conformity: interpersonal attained",
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"25": "Conformity: interpersonal constrained",
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"26": "Humility attained",
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"27": "Humility constrained",
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"28": "Benevolence: caring attained",
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"29": "Benevolence: caring constrained",
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"30": "Benevolence: dependability attained",
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"31": "Benevolence: dependability constrained",
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"32": "Universalism: concern attained",
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"33": "Universalism: concern constrained",
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"34": "Universalism: nature attained",
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"35": "Universalism: nature constrained",
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"36": "Universalism: tolerance attained",
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"37": "Universalism: tolerance constrained"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"Achievement attained": 8,
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"Achievement constrained": 9,
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"Benevolence: caring attained": 28,
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"Benevolence: caring constrained": 29,
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"Benevolence: dependability attained": 30,
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"Benevolence: dependability constrained": 31,
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"Conformity: interpersonal attained": 24,
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"Conformity: interpersonal constrained": 25,
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"Conformity: rules attained": 22,
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"Conformity: rules constrained": 23,
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"Face attained": 14,
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"Face constrained": 15,
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"Hedonism attained": 6,
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"Hedonism constrained": 7,
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"Humility attained": 26,
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"Humility constrained": 27,
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"Power: dominance attained": 10,
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"Power: dominance constrained": 11,
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"Power: resources attained": 12,
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"Power: resources constrained": 13,
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"Security: personal attained": 16,
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"Security: personal constrained": 17,
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"Security: societal attained": 18,
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"Security: societal constrained": 19,
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"Self-direction: action attained": 2,
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"Self-direction: action constrained": 3,
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"Self-direction: thought attained": 0,
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"Self-direction: thought constrained": 1,
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"Stimulation attained": 4,
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"Stimulation constrained": 5,
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"Tradition attained": 20,
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"Tradition constrained": 21,
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"Universalism: concern attained": 32,
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"Universalism: concern constrained": 33,
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"Universalism: nature attained": 34,
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"Universalism: nature constrained": 35,
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"Universalism: tolerance attained": 36,
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"Universalism: tolerance constrained": 37
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
|
96 |
+
"norm_rel_ebd": "layer_norm",
|
97 |
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"num_attention_heads": 16,
|
98 |
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"num_hidden_layers": 24,
|
99 |
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|
100 |
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"pooler_dropout": 0,
|
101 |
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"pooler_hidden_act": "gelu",
|
102 |
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"pooler_hidden_size": 1024,
|
103 |
+
"pos_att_type": [
|
104 |
+
"p2c",
|
105 |
+
"c2p"
|
106 |
+
],
|
107 |
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"position_biased_input": false,
|
108 |
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"position_buckets": 256,
|
109 |
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"problem_type": "multi_label_classification",
|
110 |
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"relative_attention": true,
|
111 |
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"share_att_key": true,
|
112 |
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"torch_dtype": "float32",
|
113 |
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"transformers_version": "4.41.2",
|
114 |
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"type_vocab_size": 0,
|
115 |
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"vocab_size": 128100
|
116 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:63439b5a164114548ea286f8f109a667649b7cc68737aff8f38452de6093e87d
|
3 |
+
size 1740452056
|
special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
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"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
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"sep_token": "[SEP]",
|
8 |
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"unk_token": {
|
9 |
+
"content": "[UNK]",
|
10 |
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"lstrip": false,
|
11 |
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"normalized": true,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
}
|
15 |
+
}
|
spm.model
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
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tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,58 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
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|
|
1 |
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{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
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"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
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"lstrip": false,
|
14 |
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"normalized": false,
|
15 |
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"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[UNK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
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"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
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"128000": {
|
36 |
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"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
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"normalized": false,
|
39 |
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"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
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"clean_up_tokenization_spaces": true,
|
46 |
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"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": false,
|
48 |
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"eos_token": "[SEP]",
|
49 |
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"mask_token": "[MASK]",
|
50 |
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"model_max_length": 1000000000000000019884624838656,
|
51 |
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"pad_token": "[PAD]",
|
52 |
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"sep_token": "[SEP]",
|
53 |
+
"sp_model_kwargs": {},
|
54 |
+
"split_by_punct": false,
|
55 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
56 |
+
"unk_token": "[UNK]",
|
57 |
+
"vocab_type": "spm"
|
58 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:c85730afe25aa3518ad16eb8a5cb7af17a9e84e75e59fc97fe412f3cb278c60d
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3 |
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size 5112
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