Model save

README.md

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+---
+base_model: google/gemma-2-9b-it
+library_name: peft
+license: gemma
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: gemma2_9b_LORA_CS_text_AR_16_32_v2
+  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. -->
+
+# gemma2_9b_LORA_CS_text_AR_16_32_v2
+
+This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8466
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 100
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.789         | 0.9989 | 225  | 0.8466          |
+
+
+### Framework versions
+
+- PEFT 0.12.1.dev0
+- Transformers 4.44.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Sep14_21-25-39_cyrus-the-great/events.out.tfevents.1726349162.cyrus-the-great.3960751.0

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