End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Aravindan/gpt2out](https://huggingface.co/Aravindan/gpt2out) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4231
+- Loss: 1.9619
 
 ## Model description
 
@@ -47,14 +47,46 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 80
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant
-- training_steps: 50
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 2.6346        | 0.0147 | 30   | 2.4231          |
+| 2.6318        | 0.0147 | 30   | 2.4202          |
+| 2.5147        | 0.0294 | 60   | 2.3425          |
+| 2.4599        | 0.0440 | 90   | 2.2838          |
+| 2.4009        | 0.0587 | 120  | 2.2386          |
+| 2.394         | 0.0734 | 150  | 2.1971          |
+| 2.3459        | 0.0881 | 180  | 2.1614          |
+| 2.3057        | 0.1027 | 210  | 2.1324          |
+| 2.3085        | 0.1174 | 240  | 2.1076          |
+| 2.2675        | 0.1321 | 270  | 2.0891          |
+| 2.2348        | 0.1468 | 300  | 2.0716          |
+| 2.2167        | 0.1614 | 330  | 2.0594          |
+| 2.1827        | 0.1761 | 360  | 2.0481          |
+| 2.2049        | 0.1908 | 390  | 2.0390          |
+| 2.1803        | 0.2055 | 420  | 2.0303          |
+| 2.1709        | 0.2201 | 450  | 2.0250          |
+| 2.1915        | 0.2348 | 480  | 2.0183          |
+| 2.1583        | 0.2495 | 510  | 2.0120          |
+| 2.168         | 0.2642 | 540  | 2.0072          |
+| 2.1678        | 0.2788 | 570  | 2.0026          |
+| 2.1545        | 0.2935 | 600  | 1.9988          |
+| 2.1561        | 0.3082 | 630  | 1.9941          |
+| 2.1442        | 0.3229 | 660  | 1.9913          |
+| 2.1393        | 0.3375 | 690  | 1.9867          |
+| 2.1489        | 0.3522 | 720  | 1.9834          |
+| 2.1304        | 0.3669 | 750  | 1.9814          |
+| 2.1175        | 0.3816 | 780  | 1.9783          |
+| 2.113         | 0.3962 | 810  | 1.9753          |
+| 2.1025        | 0.4109 | 840  | 1.9729          |
+| 2.1181        | 0.4256 | 870  | 1.9711          |
+| 2.0947        | 0.4403 | 900  | 1.9688          |
+| 2.0868        | 0.4549 | 930  | 1.9665          |
+| 2.1061        | 0.4696 | 960  | 1.9638          |
+| 2.1096        | 0.4843 | 990  | 1.9619          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3c9d94f5357649f82fb50b00753f4dea566bf93d56c116eafef6e0d4bd7d819b
+oid sha256:1a8b3f05e1a00d5540c1f299855411b6a3e8d15121fc60cd9a0849bfbcd9164d
 size 2362376

runs/Jun13_11-56-28_5ffe309c321a/events.out.tfevents.1718279937.5ffe309c321a.24.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e26285c187b4e297e2fb18aa28d3882e7a20af8afd67dba5d3a961e232424df2
+size 22064

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:545fdcdfa578c78beef917f63c6d03ca8ab1f74ed19ce0cb794697949e4bb254
+oid sha256:3f2c70bc65e23b8f60d1669fb8d9803ccd8d8b5a254dddda327181dca4cba501
 size 5368