End of training

README.md

@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9017
-- Acc: 0.75
-- Log Loss: 0.9017
+- Loss: 2.7063
+- Acc: 0.45
+- Log Loss: 2.7062
 
 ## Model description
 
@@ -37,12 +37,12 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 2
+- learning_rate: 1e-05
+- train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 4
+- total_train_batch_size: 8
 - optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 20
@@ -53,7 +53,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Acc  | Log Loss |
 |:-------------:|:-----:|:----:|:---------------:|:----:|:--------:|
-| 1.8618        | 1.0   | 20   | 0.9017          | 0.75 | 0.9017   |
+| 3.5673        | 1.0   | 10   | 2.7063          | 0.45 | 2.7062   |
 
 
 ### Framework versions