End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.1522
+- Loss: 0.0419
 
 ## Model description
 
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine_with_restarts
 - lr_scheduler_warmup_steps: 100
-- num_epochs: 2
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -55,23 +55,34 @@ The following hyperparameters were used during training:
 | 0.096         | 0.27  | 60   | 0.0854          |
 | 0.1014        | 0.36  | 80   | 0.0820          |
 | 0.0813        | 0.45  | 100  | 0.0795          |
-| 0.1016        | 0.54  | 120  | 0.0772          |
-| 0.0957        | 0.63  | 140  | 0.0804          |
-| 0.076         | 0.73  | 160  | 0.0816          |
-| 0.0872        | 0.82  | 180  | 0.0851          |
-| 0.0836        | 0.91  | 200  | 0.0715          |
-| 0.0916        | 1.0   | 220  | 0.0800          |
-| 0.0849        | 1.09  | 240  | 0.0822          |
-| 1.7258        | 1.18  | 260  | 0.2365          |
-| 0.2299        | 1.27  | 280  | 0.1816          |
-| 0.1833        | 1.36  | 300  | 0.1711          |
-| 0.1657        | 1.45  | 320  | 0.1619          |
-| 0.1601        | 1.54  | 340  | 0.1557          |
-| 0.1522        | 1.63  | 360  | 0.1565          |
-| 0.1553        | 1.72  | 380  | 0.1532          |
-| 0.1547        | 1.81  | 400  | 0.1525          |
-| 0.1548        | 1.9   | 420  | 0.1521          |
-| 0.1532        | 1.99  | 440  | 0.1522          |
+| 0.0869        | 0.54  | 120  | 0.0707          |
+| 0.0858        | 0.63  | 140  | 0.0831          |
+| 0.0841        | 0.73  | 160  | 0.0780          |
+| 0.0895        | 0.82  | 180  | 0.0732          |
+| 0.0908        | 0.91  | 200  | 0.0808          |
+| 0.0872        | 1.0   | 220  | 0.0807          |
+| 0.0726        | 1.09  | 240  | 0.0720          |
+| 0.0644        | 1.18  | 260  | 0.0740          |
+| 0.216         | 1.27  | 280  | 0.2003          |
+| 0.0945        | 1.36  | 300  | 0.0814          |
+| 0.0937        | 1.45  | 320  | 0.0842          |
+| 0.0868        | 1.54  | 340  | 0.0801          |
+| 0.0714        | 1.63  | 360  | 0.0709          |
+| 0.0632        | 1.72  | 380  | 0.0639          |
+| 0.0626        | 1.81  | 400  | 0.0518          |
+| 0.0467        | 1.9   | 420  | 0.0510          |
+| 0.0541        | 1.99  | 440  | 0.0475          |
+| 0.0486        | 2.08  | 460  | 0.0580          |
+| 0.046         | 2.18  | 480  | 0.0484          |
+| 0.0385        | 2.27  | 500  | 0.0493          |
+| 0.0446        | 2.36  | 520  | 0.0470          |
+| 0.037         | 2.45  | 540  | 0.0424          |
+| 0.0446        | 2.54  | 560  | 0.0433          |
+| 0.0297        | 2.63  | 580  | 0.0441          |
+| 0.0317        | 2.72  | 600  | 0.0426          |
+| 0.0481        | 2.81  | 620  | 0.0425          |
+| 0.0318        | 2.9   | 640  | 0.0421          |
+| 0.0332        | 2.99  | 660  | 0.0419          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:bffa740d1d00896c7a80f7767cb8e7615c1b905229dd320d6ed01650e8c2964d
 size 84237364

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b155556b0890a7ec59f06ed4bbb575d6e8c7dccd6a12db8f1bdb92bc7afad02
+oid sha256:b8500bb373ac49db404f7a851d6e6deb6409219e8c568af558a0bf8166d32d0b
 size 5643644816

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9e883bc2a82c1c15a22629bc29ddd888bbfd1a0cdf082fc3a57fc5aee566f580
+oid sha256:cd7ab6c28bc8f36f346cb190aec11917b7ac5f5b72bf505c62e98ee937b8e584
 size 5112