End of training

README.md

@@ -14,6 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 # gpt2-alpaca-instruction-fine-tuning-lora
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6566
 
 ## Model description
 
@@ -43,6 +45,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1138        | 0.11  | 1000 | 1.7761          |
+| 1.8565        | 0.22  | 2000 | 1.7291          |
+| 1.8133        | 0.33  | 3000 | 1.7039          |
+| 1.8198        | 0.44  | 4000 | 1.6900          |
+| 1.8024        | 0.55  | 5000 | 1.6771          |
+| 1.7781        | 0.66  | 6000 | 1.6691          |
+| 1.7742        | 0.77  | 7000 | 1.6626          |
+| 1.7517        | 0.88  | 8000 | 1.6577          |
+| 1.7566        | 0.99  | 9000 | 1.6566          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
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 size 6513289

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:60a43c9a70949f8b830037486d91e5e77ccaa62aaedc01ce811aff505e38a6d9
 size 4091