Model save

README.md

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+---
+library_name: peft
+tags:
+- llama-factory
+- generated_from_trainer
+base_model: google/gemma-7b
+model-index:
+- name: Gemma_ei_oc_unstructured_train_2e-4
+  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_ei_oc_unstructured_train_2e-4
+
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1386
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.0971        | 0.3604 | 10   | 0.1433          |
+| 0.1428        | 0.7207 | 20   | 0.1388          |
+| 0.1363        | 1.0811 | 30   | 0.1394          |
+| 0.136         | 1.4414 | 40   | 0.1378          |
+| 0.1359        | 1.8018 | 50   | 0.1413          |
+| 0.1364        | 2.1622 | 60   | 0.1376          |
+| 0.1336        | 2.5225 | 70   | 0.1382          |
+| 0.1322        | 2.8829 | 80   | 0.1386          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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