End of training

README.md

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+---
+base_model: bert-base-cased
+library_name: peft
+license: apache-2.0
+metrics:
+- accuracy
+tags:
+- generated_from_trainer
+model-index:
+- name: 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. -->
+
+# bert-lora
+
+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: 0.4540
+- Accuracy: 0.78
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 125  | 0.6659          | 0.64     |
+| No log        | 2.0   | 250  | 0.6518          | 0.64     |
+| No log        | 3.0   | 375  | 0.6353          | 0.66     |
+| 0.6613        | 4.0   | 500  | 0.6126          | 0.7      |
+| 0.6613        | 5.0   | 625  | 0.5862          | 0.7      |
+| 0.6613        | 6.0   | 750  | 0.5677          | 0.68     |
+| 0.6613        | 7.0   | 875  | 0.5350          | 0.72     |
+| 0.5607        | 8.0   | 1000 | 0.5163          | 0.74     |
+| 0.5607        | 9.0   | 1125 | 0.4980          | 0.74     |
+| 0.5607        | 10.0  | 1250 | 0.4821          | 0.75     |
+| 0.5607        | 11.0  | 1375 | 0.4738          | 0.77     |
+| 0.4757        | 12.0  | 1500 | 0.4633          | 0.78     |
+| 0.4757        | 13.0  | 1625 | 0.4574          | 0.78     |
+| 0.4757        | 14.0  | 1750 | 0.4553          | 0.78     |
+| 0.4757        | 15.0  | 1875 | 0.4540          | 0.78     |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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": [
+    "classifier",
+    "score"
+  ],
+  "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/Oct06_15-38-25_5ee937f6ced0/events.out.tfevents.1728229108.5ee937f6ced0.553.1

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training_args.bin

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