End of training

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: test_trainer
+  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. -->
+
+# test_trainer
+
+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: 0.4153
+- Accuracy: 0.819
+
+## 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  | 0.6959          | 0.451    |
+| No log        | 2.0   | 250  | 0.6876          | 0.561    |
+| No log        | 3.0   | 375  | 0.6825          | 0.543    |
+| 0.6936        | 4.0   | 500  | 0.6629          | 0.617    |
+| 0.6936        | 5.0   | 625  | 0.6337          | 0.661    |
+| 0.6936        | 6.0   | 750  | 0.6049          | 0.674    |
+| 0.6936        | 7.0   | 875  | 0.5729          | 0.706    |
+| 0.6247        | 8.0   | 1000 | 0.5497          | 0.71     |
+| 0.6247        | 9.0   | 1125 | 0.5248          | 0.733    |
+| 0.6247        | 10.0  | 1250 | 0.5047          | 0.74     |
+| 0.6247        | 11.0  | 1375 | 0.4837          | 0.765    |
+| 0.5062        | 12.0  | 1500 | 0.4711          | 0.766    |
+| 0.5062        | 13.0  | 1625 | 0.4593          | 0.784    |
+| 0.5062        | 14.0  | 1750 | 0.4504          | 0.788    |
+| 0.5062        | 15.0  | 1875 | 0.4430          | 0.793    |
+| 0.4395        | 16.0  | 2000 | 0.4341          | 0.8      |
+| 0.4395        | 17.0  | 2125 | 0.4310          | 0.8      |
+| 0.4395        | 18.0  | 2250 | 0.4264          | 0.807    |
+| 0.4395        | 19.0  | 2375 | 0.4214          | 0.807    |
+| 0.3974        | 20.0  | 2500 | 0.4211          | 0.811    |
+| 0.3974        | 21.0  | 2625 | 0.4168          | 0.812    |
+| 0.3974        | 22.0  | 2750 | 0.4183          | 0.815    |
+| 0.3974        | 23.0  | 2875 | 0.4155          | 0.815    |
+| 0.3823        | 24.0  | 3000 | 0.4154          | 0.818    |
+| 0.3823        | 25.0  | 3125 | 0.4153          | 0.819    |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.3.0.dev20231231
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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,
+  "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": [
+    "value",
+    "query"
+  ],
+  "task_type": "SEQ_CLS"
+}

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training_args.bin

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