loha_fine_tuned_copa_sloberta

README.md

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+---
+license: cc-by-sa-4.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: EMBEDDIA/sloberta
+metrics:
+- accuracy
+- f1
+model-index:
+- name: loha_fine_tuned_copa_sloberta
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# loha_fine_tuned_copa_sloberta
+
+This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6625
+- Accuracy: 0.6
+- F1: 0.6
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 400
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.6991        | 1.0   | 50   | 0.6918          | 0.58     | 0.5810 |
+| 0.7015        | 2.0   | 100  | 0.6930          | 0.53     | 0.5310 |
+| 0.6965        | 3.0   | 150  | 0.6933          | 0.58     | 0.5807 |
+| 0.6971        | 4.0   | 200  | 0.6919          | 0.53     | 0.5312 |
+| 0.6953        | 5.0   | 250  | 0.6878          | 0.56     | 0.5575 |
+| 0.6775        | 6.0   | 300  | 0.6731          | 0.61     | 0.6108 |
+| 0.641         | 7.0   | 350  | 0.6595          | 0.62     | 0.6206 |
+| 0.597         | 8.0   | 400  | 0.6625          | 0.6      | 0.6    |
+
+
+### Framework versions
+
+- PEFT 0.10.1.dev0
+- Transformers 4.40.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha": 32,
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "EMBEDDIA/sloberta",
+  "inference_mode": true,
+  "init_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "module_dropout": 0.0,
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LOHA",
+  "r": 16,
+  "rank_dropout": 0.0,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "value",
+    "query"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_effective_conv2d": false
+}

adapter_model.safetensors

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runs/May21_16-46-38_DESKTOP-22QTFDR/events.out.tfevents.1716302798.DESKTOP-22QTFDR.20236.0

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runs/May21_16-46-38_DESKTOP-22QTFDR/events.out.tfevents.1716302825.DESKTOP-22QTFDR.20236.1

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "sp_model_kwargs": {},
+  "tokenizer_class": "CamembertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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