End of training

README.md

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+---
+license: gemma
+base_model: google/gemma-2b
+tags:
+- generated_from_trainer
+model-index:
+- name: G0428HMA5
+  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. -->
+
+# G0428HMA5
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1085
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 80
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.7283        | 0.09  | 10   | 1.9180          |
+| 1.3514        | 0.18  | 20   | 0.6885          |
+| 0.3688        | 0.27  | 30   | 0.1812          |
+| 0.1614        | 0.36  | 40   | 0.1524          |
+| 0.1477        | 0.45  | 50   | 0.1476          |
+| 0.1475        | 0.54  | 60   | 0.1480          |
+| 0.1477        | 0.63  | 70   | 0.1475          |
+| 0.1481        | 0.73  | 80   | 0.1481          |
+| 0.1415        | 0.82  | 90   | 0.1487          |
+| 0.1455        | 0.91  | 100  | 0.1473          |
+| 0.1484        | 1.0   | 110  | 0.1482          |
+| 0.143         | 1.09  | 120  | 0.1482          |
+| 0.1441        | 1.18  | 130  | 0.1479          |
+| 0.1452        | 1.27  | 140  | 0.1453          |
+| 0.1464        | 1.36  | 150  | 0.1433          |
+| 0.1394        | 1.45  | 160  | 0.1517          |
+| 0.1425        | 1.54  | 170  | 0.1415          |
+| 0.1378        | 1.63  | 180  | 0.1336          |
+| 0.1322        | 1.72  | 190  | 0.1349          |
+| 0.1269        | 1.81  | 200  | 0.1243          |
+| 0.1255        | 1.9   | 210  | 0.1209          |
+| 0.1212        | 1.99  | 220  | 0.1208          |
+| 0.1115        | 2.08  | 230  | 0.1180          |
+| 0.1151        | 2.18  | 240  | 0.1169          |
+| 0.1089        | 2.27  | 250  | 0.1160          |
+| 0.1085        | 2.36  | 260  | 0.1134          |
+| 0.1099        | 2.45  | 270  | 0.1118          |
+| 0.1031        | 2.54  | 280  | 0.1112          |
+| 0.0986        | 2.63  | 290  | 0.1099          |
+| 0.1008        | 2.72  | 300  | 0.1091          |
+| 0.1075        | 2.81  | 310  | 0.1087          |
+| 0.1048        | 2.9   | 320  | 0.1085          |
+| 0.1047        | 2.99  | 330  | 0.1085          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+  "base_model_name_or_path": "google/gemma-2b",
+  "bias": "none",
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+  "detached_training": true,
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+}

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