SeyedAli/Persian-Text-Emotion-Bert-LORA

README.md

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+---
+base_model: HooshvareLab/bert-base-parsbert-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: Persian-Text-Sentiment-Bert-LORA
+  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. -->
+
+# Persian-Text-Sentiment-Bert-LORA
+
+This model is a fine-tuned version of [HooshvareLab/bert-base-parsbert-uncased](https://huggingface.co/HooshvareLab/bert-base-parsbert-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3427
+- Precision: 0.8579
+- Recall: 0.8543
+- F1-score: 0.8540
+- Accuracy: 0.8543
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1-score | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:--------:|:--------:|
+| 0.3939        | 1.0   | 3491  | 0.3835          | 0.8457    | 0.8404 | 0.8398   | 0.8404   |
+| 0.3722        | 2.0   | 6982  | 0.3677          | 0.8513    | 0.8457 | 0.8451   | 0.8457   |
+| 0.3553        | 3.0   | 10473 | 0.3576          | 0.8539    | 0.8495 | 0.8491   | 0.8495   |
+| 0.3618        | 4.0   | 13964 | 0.3525          | 0.8546    | 0.8513 | 0.8509   | 0.8513   |
+| 0.3534        | 5.0   | 17455 | 0.3485          | 0.8557    | 0.8521 | 0.8517   | 0.8521   |
+| 0.3423        | 6.0   | 20946 | 0.3470          | 0.8562    | 0.8530 | 0.8526   | 0.8530   |
+| 0.3455        | 7.0   | 24437 | 0.3453          | 0.8573    | 0.8535 | 0.8531   | 0.8535   |
+| 0.347         | 8.0   | 27928 | 0.3428          | 0.8575    | 0.8539 | 0.8535   | 0.8539   |
+| 0.344         | 9.0   | 31419 | 0.3429          | 0.8578    | 0.8546 | 0.8542   | 0.8546   |
+| 0.335         | 10.0  | 34910 | 0.3427          | 0.8579    | 0.8543 | 0.8540   | 0.8543   |
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "HooshvareLab/bert-base-parsbert-uncased",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 1,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 4,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value"
+  ],
+  "task_type": "SEQ_CLS"
+}