Training completed!

README.md

@@ -1,9 +1,9 @@
 ---
-license: mit
+base_model: microsoft/phi-2
 library_name: peft
+license: mit
 tags:
 - generated_from_trainer
-base_model: microsoft/phi-2
 model-index:
 - name: final-checkpoint
   results: []
@@ -15,8 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # final-checkpoint
 
 This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.3274
 
 ## Model description
 
@@ -43,35 +41,16 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 1
 - training_steps: 400
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.6563        | 0.05  | 25   | 1.3900          |
-| 1.1883        | 0.1   | 50   | 1.3818          |
-| 1.4433        | 0.15  | 75   | 1.3524          |
-| 1.203         | 0.2   | 100  | 1.3627          |
-| 1.4397        | 0.25  | 125  | 1.3451          |
-| 1.1394        | 0.3   | 150  | 1.3585          |
-| 1.4034        | 0.35  | 175  | 1.3412          |
-| 1.1449        | 0.4   | 200  | 1.3406          |
-| 1.4447        | 0.45  | 225  | 1.3342          |
-| 1.2276        | 0.5   | 250  | 1.3345          |
-| 1.4556        | 0.55  | 275  | 1.3313          |
-| 1.1622        | 0.6   | 300  | 1.3302          |
-| 1.4267        | 0.65  | 325  | 1.3286          |
-| 1.2025        | 0.7   | 350  | 1.3285          |
-| 1.3953        | 0.75  | 375  | 1.3275          |
-| 1.188         | 0.8   | 400  | 1.3274          |
 
 
 ### Framework versions
 
-- PEFT 0.10.0
-- Transformers 4.39.0
-- Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- PEFT 0.12.0
+- Transformers 4.43.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1