thaisonatk
commited on
Commit
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Parent(s):
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fine-tune-QNLI-10k
Browse files- README.md +73 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- config.json +32 -0
- model.safetensors +3 -0
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README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- QNLI
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- generated_from_trainer
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base_model: google-bert/bert-base-uncased
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metrics:
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- accuracy
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model-index:
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- name: check
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thaisonatk/Fine-tune/runs/sibqe48b)
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# check
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3991
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- Accuracy: 0.8258
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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: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6863 | 1.0 | 613 | 0.6746 | 0.6165 |
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| 0.5276 | 2.0 | 1226 | 0.4910 | 0.7723 |
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| 0.4828 | 3.0 | 1839 | 0.4693 | 0.7847 |
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| 0.4682 | 4.0 | 2452 | 0.4413 | 0.8038 |
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| 0.4692 | 5.0 | 3065 | 0.4330 | 0.8071 |
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| 0.4387 | 6.0 | 3678 | 0.4344 | 0.8055 |
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| 0.428 | 7.0 | 4291 | 0.4109 | 0.8191 |
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| 0.4266 | 8.0 | 4904 | 0.4069 | 0.8208 |
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| 0.4191 | 9.0 | 5517 | 0.4031 | 0.8233 |
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| 0.434 | 10.0 | 6130 | 0.3991 | 0.8258 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.41.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.0
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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": "google-bert/bert-base-uncased",
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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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"layer_replication": null,
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"layers_pattern": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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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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"query",
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"key",
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"value",
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"dense"
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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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config.json
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