lora_fine_tuned_copa_XLMroberta

.gitattributes

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 *.zst filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: xlm-roberta-base
+metrics:
+- accuracy
+- f1
+model-index:
+- name: lora_fine_tuned_copa_XLMroberta
+  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. -->
+
+# lora_fine_tuned_copa_XLMroberta
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6931
+- Accuracy: 0.52
+- F1: 0.5067
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.7167        | 1.0   | 50   | 0.6931          | 0.45     | 0.4514 |
+| 0.6965        | 2.0   | 100  | 0.6931          | 0.45     | 0.4514 |
+| 0.7021        | 3.0   | 150  | 0.6931          | 0.53     | 0.5310 |
+| 0.701         | 4.0   | 200  | 0.6931          | 0.46     | 0.4613 |
+| 0.7091        | 5.0   | 250  | 0.6931          | 0.51     | 0.5104 |
+| 0.6972        | 6.0   | 300  | 0.6931          | 0.5      | 0.4896 |
+| 0.6983        | 7.0   | 350  | 0.6931          | 0.56     | 0.56   |
+| 0.6961        | 8.0   | 400  | 0.6931          | 0.52     | 0.5067 |
+
+
+### 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_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "xlm-roberta-base",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/May21_19-46-10_DESKTOP-22QTFDR/events.out.tfevents.1716313571.DESKTOP-22QTFDR.33008.0

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special_tokens_map.json

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tokenizer_config.json

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+}

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