End of training

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-2b
+model-index:
+- name: eu-ai-act-align
+  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. -->
+
+# eu-ai-act-align
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7628
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 1
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.139         | 1.0   | 230  | 1.9804          |
+| 1.9368        | 2.0   | 460  | 1.8491          |
+| 1.8613        | 3.0   | 690  | 1.8011          |
+| 1.8008        | 4.0   | 920  | 1.7763          |
+| 1.7447        | 5.0   | 1150 | 1.7634          |
+| 1.6942        | 6.0   | 1380 | 1.7563          |
+| 1.6558        | 7.0   | 1610 | 1.7513          |
+| 1.6192        | 8.0   | 1840 | 1.7446          |
+| 1.5782        | 9.0   | 2070 | 1.7573          |
+| 1.5463        | 10.0  | 2300 | 1.7628          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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