End of training

README.md

@@ -0,0 +1,66 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: qwen2.5-finetuned
+  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. -->
+
+# qwen2.5-finetuned
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2505
+
+## 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: 0.0003
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.3385        | 0.2036 | 50   | 1.3350          |
+| 1.2785        | 0.4072 | 100  | 1.2864          |
+| 1.2603        | 0.6108 | 150  | 1.2636          |
+| 1.245         | 0.8144 | 200  | 1.2505          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.1
+- Pytorch 2.4.1
+- Datasets 2.19.1
+- Tokenizers 0.20.0

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e964d6c85bf55cc2a6a4a87a7f2946743c493af75db1682b3ccb734f8b7094c2
+oid sha256:21d59fcdf69c30e6cb7454b185cdeb75c43cc28c1ad37d4fb040153cd9fe08bb
 size 20200056