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 [gpt2](https://huggingface.co/gpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.4963
+- Loss: 5.4775
 
 ## Model description
 
@@ -47,14 +47,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 6.497         | 1.17  | 500  | 6.1065          |
-| 5.565         | 2.35  | 1000 | 5.7556          |
-| 5.0933        | 3.52  | 1500 | 5.6007          |
-| 4.7317        | 4.69  | 2000 | 5.5007          |
-| 4.4097        | 5.87  | 2500 | 5.4714          |
-| 4.1095        | 7.04  | 3000 | 5.4652          |
-| 3.8288        | 8.22  | 3500 | 5.4882          |
-| 3.6166        | 9.39  | 4000 | 5.4963          |
+| 6.4897        | 1.17  | 500  | 6.1071          |
+| 5.5542        | 2.35  | 1000 | 5.7496          |
+| 5.0727        | 3.52  | 1500 | 5.5820          |
+| 4.6986        | 4.69  | 2000 | 5.4866          |
+| 4.3625        | 5.87  | 2500 | 5.4438          |
+| 4.0439        | 7.04  | 3000 | 5.4475          |
+| 3.7449        | 8.22  | 3500 | 5.4655          |
+| 3.5157        | 9.39  | 4000 | 5.4775          |
 
 
 ### Framework versions

model.safetensors

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runs/Feb12_11-49-55_nlp-gpu-01.be.ucsc.edu/events.out.tfevents.1707767396.nlp-gpu-01.be.ucsc.edu.163223.1

@@ -1,3 +1,3 @@
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