lora_fine_tuned_boolq_googlemt_sloberta
Browse files- README.md +71 -0
- adapter_config.json +33 -0
- adapter_model.safetensors +3 -0
- runs/May18_15-02-56_0e77cd089210/events.out.tfevents.1716044584.0e77cd089210.1358.0 +3 -0
- runs/May18_15-02-56_0e77cd089210/events.out.tfevents.1716045207.0e77cd089210.1358.1 +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: lora_fine_tuned_boolq_googlemt_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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# lora_fine_tuned_boolq_googlemt_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: 0.6642
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- Accuracy: 0.6217
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- F1: 0.4767
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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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| 0.6841 | 0.0424 | 50 | 0.6647 | 0.6217 | 0.4767 |
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| 0.6685 | 0.0848 | 100 | 0.6632 | 0.6217 | 0.4767 |
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| 0.6944 | 0.1272 | 150 | 0.6639 | 0.6217 | 0.4767 |
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| 0.6581 | 0.1696 | 200 | 0.6632 | 0.6217 | 0.4767 |
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| 0.6625 | 0.2120 | 250 | 0.6642 | 0.6217 | 0.4767 |
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| 0.6532 | 0.2545 | 300 | 0.6661 | 0.6217 | 0.4767 |
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| 0.6741 | 0.2969 | 350 | 0.6645 | 0.6217 | 0.4767 |
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| 0.6852 | 0.3393 | 400 | 0.6642 | 0.6217 | 0.4767 |
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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 2.2.1+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_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "EMBEDDIA/sloberta",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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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": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"attention.self.query",
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"attention.self.key",
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"attention.self.value"
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],
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"task_type": "SEQ_CLS",
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"use_dora": false,
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"use_rslora": false
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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 sha256:51d717931cd3ef1d7ad519a0318e4e431e964197499b2238444849198ca4d8f3
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size 5918256
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runs/May18_15-02-56_0e77cd089210/events.out.tfevents.1716044584.0e77cd089210.1358.0
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version https://git-lfs.github.com/spec/v1
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size 9864
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runs/May18_15-02-56_0e77cd089210/events.out.tfevents.1716045207.0e77cd089210.1358.1
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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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"bos_token": {
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tokenizer.json
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tokenizer_config.json
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],
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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:eac7d47c83ae8441c6efcccb1327cea6f2aeeea36fbd24e88eaba7a4b66243ef
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size 5048
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