lora_fine_tuned_cb_XLMroberta

.gitattributes

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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_cb_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_cb_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: 1.4225
+- Accuracy: 0.3182
+- F1: 0.1536
+
+## 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: 2e-05
+- 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     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
+| 0.9083        | 3.5714  | 50   | 1.2624          | 0.3182   | 0.1536 |
+| 0.7455        | 7.1429  | 100  | 1.4585          | 0.3182   | 0.1536 |
+| 0.7714        | 10.7143 | 150  | 1.4354          | 0.3182   | 0.1536 |
+| 0.721         | 14.2857 | 200  | 1.3749          | 0.3182   | 0.1536 |
+| 0.7302        | 17.8571 | 250  | 1.4032          | 0.3182   | 0.1536 |
+| 0.7313        | 21.4286 | 300  | 1.4237          | 0.3182   | 0.1536 |
+| 0.6958        | 25.0    | 350  | 1.4302          | 0.3182   | 0.1536 |
+| 0.7295        | 28.5714 | 400  | 1.4225          | 0.3182   | 0.1536 |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- 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
+}

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special_tokens_map.json

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tokenizer_config.json

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