Model save

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: Qwen/Qwen2-0.5B-Instruct
+base_model: Qwen/Qwen2-1.5B-Instruct
 library_name: peft
 license: apache-2.0
 tags:
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # output
 
-This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on an unknown dataset.
+This model is a fine-tuned version of [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0816
+- Loss: 1.0250
 
 ## Model description
 
@@ -37,27 +37,29 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.002
-- train_batch_size: 1
+- learning_rate: 2e-05
+- train_batch_size: 2
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 8
+- gradient_accumulation_steps: 4
 - total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.2506        | 1.0   | 1250 | 1.0816          |
+| 1.0812        | 1.0   | 1250 | 1.0450          |
+| 1.012         | 2.0   | 2500 | 1.0273          |
+| 1.0175        | 3.0   | 3750 | 1.0250          |
 
 
 ### Framework versions
 
 - PEFT 0.12.0
-- Transformers 4.42.4
+- Transformers 4.44.0.dev0
 - Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1