Jahanzeb1/BERT-TextClassification-LoRA

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+base_model: bert-base-cased
+model-index:
+- name: BERT-TextClassification
+  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. -->
+
+# BERT-TextClassification
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3769
+- Accuracy: 0.841
+
+## 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: 5e-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
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 125  | 0.6928          | 0.518    |
+| No log        | 2.0   | 250  | 0.6834          | 0.573    |
+| No log        | 3.0   | 375  | 0.6808          | 0.534    |
+| 0.6958        | 4.0   | 500  | 0.6763          | 0.533    |
+| 0.6958        | 5.0   | 625  | 0.6564          | 0.639    |
+| 0.6958        | 6.0   | 750  | 0.6368          | 0.672    |
+| 0.6958        | 7.0   | 875  | 0.6091          | 0.699    |
+| 0.6446        | 8.0   | 1000 | 0.5769          | 0.713    |
+| 0.6446        | 9.0   | 1125 | 0.5434          | 0.73     |
+| 0.6446        | 10.0  | 1250 | 0.5142          | 0.748    |
+| 0.6446        | 11.0  | 1375 | 0.4820          | 0.757    |
+| 0.5224        | 12.0  | 1500 | 0.4638          | 0.785    |
+| 0.5224        | 13.0  | 1625 | 0.4383          | 0.792    |
+| 0.5224        | 14.0  | 1750 | 0.4222          | 0.804    |
+| 0.5224        | 15.0  | 1875 | 0.4121          | 0.816    |
+| 0.4233        | 16.0  | 2000 | 0.3995          | 0.826    |
+| 0.4233        | 17.0  | 2125 | 0.3958          | 0.822    |
+| 0.4233        | 18.0  | 2250 | 0.3886          | 0.833    |
+| 0.4233        | 19.0  | 2375 | 0.3843          | 0.832    |
+| 0.3784        | 20.0  | 2500 | 0.3820          | 0.835    |
+| 0.3784        | 21.0  | 2625 | 0.3804          | 0.834    |
+| 0.3784        | 22.0  | 2750 | 0.3784          | 0.836    |
+| 0.3784        | 23.0  | 2875 | 0.3773          | 0.84     |
+| 0.3621        | 24.0  | 3000 | 0.3771          | 0.841    |
+| 0.3621        | 25.0  | 3125 | 0.3769          | 0.841    |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "bert-base-cased",
+  "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": 1,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 1,
+  "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/Apr14_07-57-39_8a3fdd41c5b7/events.out.tfevents.1713081476.8a3fdd41c5b7.884.0

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training_args.bin

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