End of training

README.md

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+---
+base_model: google/gemma-2b-it
+library_name: peft
+license: gemma
+tags:
+- generated_from_trainer
+model-index:
+- name: gemma-2b-it-finetuned
+  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-finetuned
+
+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: 5.5668
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 15.0347       | 1.0   | 13   | 8.1513          |
+| 7.7981        | 2.0   | 26   | 6.0494          |
+| 6.203         | 3.0   | 39   | 5.5668          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.1.0+cu118
+- Datasets 3.0.1
+- Tokenizers 0.20.0