End of training

README.md

@@ -0,0 +1,66 @@
+---
+license: gemma
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: unsloth/gemma-2-9b-it-bnb-4bit
+model-index:
+- name: gemma2-9b-4bit-qlora
+  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-4bit-qlora
+
+This model is a fine-tuned version of [unsloth/gemma-2-9b-it-bnb-4bit](https://huggingface.co/unsloth/gemma-2-9b-it-bnb-4bit) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4238
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 8.2352        | 0.2036 | 50   | 7.5529          |
+| 5.4001        | 0.4072 | 100  | 5.1485          |
+| 3.9619        | 0.6108 | 150  | 3.8688          |
+| 3.4514        | 0.8144 | 200  | 3.4238          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.20.0

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c423eb4e618921d3754cf0cc812453bff043a04ed92aa7337192a4446b845d77
+oid sha256:8cf17560a84323cdf562ac98a451b5c4879f503723fd71b247c10e33bcb77371
 size 35805232