End of training

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: google/gemma-2b-it
+model-index:
+- name: gemma-2b-it-retrained_network_corpus
+  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. -->
+
+# gemma-2b-it-retrained_network_corpus
+
+This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3035
+
+## 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: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9983        | 1.0   | 28   | 2.3757          |
+| 2.1934        | 2.0   | 56   | 2.3035          |
+| 1.6321        | 3.0   | 84   | 2.4507          |
+| 1.1753        | 4.0   | 112  | 2.6984          |
+| 0.8011        | 5.0   | 140  | 2.9980          |
+| 0.5162        | 6.0   | 168  | 3.2588          |
+| 0.304         | 7.0   | 196  | 3.7305          |
+| 0.1822        | 8.0   | 224  | 4.0858          |
+| 0.1148        | 9.0   | 252  | 4.3105          |
+| 0.0855        | 10.0  | 280  | 4.5450          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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