End of training

README.md

@@ -1,7 +1,6 @@
 ---
 library_name: peft
-license: apache-2.0
-base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+base_model: peft-internal-testing/tiny-dummy-qwen2
 tags:
 - axolotl
 - generated_from_trainer
@@ -19,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 axolotl version: `0.4.1`
 ```yaml
 adapter: lora
-base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+base_model: peft-internal-testing/tiny-dummy-qwen2
 bf16: auto
 chat_template: llama3
 dataset_prepared_path: null
@@ -98,9 +97,9 @@ xformers_attention: null
 
 # 123e4567-e89b-12d3-a456-426614174000
 
-This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
+This model is a fine-tuned version of [peft-internal-testing/tiny-dummy-qwen2](https://huggingface.co/peft-internal-testing/tiny-dummy-qwen2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1215
+- Loss: 11.9321
 
 ## Model description
 
@@ -132,7 +131,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 2.0306        | 0.0001 | 2    | 2.1215          |
+| 11.931        | 0.0001 | 2    | 11.9321         |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 25342042
+oid sha256:3ce3b94a56d10480bcdec8ec8369aeccd0d5b0673f1732cfdde3d83d8d2c7953
+size 21378