loha_fine_tuned_boolq_sloberta
Browse files- README.md +71 -0
- adapter_config.json +30 -0
- adapter_model.safetensors +3 -0
- runs/May23_10-41-26_6151a8baf322/events.out.tfevents.1716460887.6151a8baf322.287.0 +3 -0
- runs/May23_10-41-26_6151a8baf322/events.out.tfevents.1716460914.6151a8baf322.287.1 +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +55 -0
- tokenizer.json +0 -0
- tokenizer_config.json +76 -0
- training_args.bin +3 -0
README.md
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---
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license: cc-by-sa-4.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: EMBEDDIA/sloberta
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metrics:
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- accuracy
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- f1
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model-index:
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- name: loha_fine_tuned_boolq_sloberta
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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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# loha_fine_tuned_boolq_sloberta
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This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5638
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- Accuracy: 0.7778
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- F1: 0.6806
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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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- training_steps: 400
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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| 0.6734 | 4.1667 | 50 | 0.5813 | 0.7778 | 0.6806 |
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| 0.6547 | 8.3333 | 100 | 0.5652 | 0.7778 | 0.6806 |
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| 0.6498 | 12.5 | 150 | 0.5666 | 0.7778 | 0.6806 |
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| 0.655 | 16.6667 | 200 | 0.5663 | 0.7778 | 0.6806 |
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| 0.6529 | 20.8333 | 250 | 0.5649 | 0.7778 | 0.6806 |
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| 0.6517 | 25.0 | 300 | 0.5633 | 0.7778 | 0.6806 |
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| 0.655 | 29.1667 | 350 | 0.5641 | 0.7778 | 0.6806 |
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| 0.6521 | 33.3333 | 400 | 0.5638 | 0.7778 | 0.6806 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha": 32,
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "EMBEDDIA/sloberta",
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"inference_mode": true,
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"init_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"module_dropout": 0.0,
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"modules_to_save": [
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"classifier",
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"score"
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],
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"peft_type": "LOHA",
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"r": 16,
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"rank_dropout": 0.0,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"fc1",
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"fc2",
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"out_proj",
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"k_proj",
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"v_proj"
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],
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"task_type": "SEQ_CLS",
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"use_effective_conv2d": true
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c085ccb56d09cb73435e83af19836087581e6b52f50c7e6c8eb7df8636265717
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size 2666176
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runs/May23_10-41-26_6151a8baf322/events.out.tfevents.1716460887.6151a8baf322.287.0
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version https://git-lfs.github.com/spec/v1
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size 9837
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runs/May23_10-41-26_6151a8baf322/events.out.tfevents.1716460914.6151a8baf322.287.1
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version https://git-lfs.github.com/spec/v1
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size 457
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:34b589385a2320549143ab23b0ccf82cc99a82685701cdabe0fad847bd0479ff
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size 800013
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special_tokens_map.json
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{
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tokenizer.json
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See raw diff
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tokenizer_config.json
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],
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"sp_model_kwargs": {},
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"tokenizer_class": "CamembertTokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8841d2ef6ff8cdf6f08332da1b0bdd9d41303f789e3be2fc660cc378bb533f05
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size 4984
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