End of training

README.md

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 4.2136
-- Validation Loss: 3.8303
-- Epoch: 0
+- Train Loss: 3.1769
+- Validation Loss: 3.5116
+- Epoch: 19
 
 ## Model description
 
@@ -43,6 +43,25 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 4.2136     | 3.8303          | 0     |
+| 3.8997     | 3.6993          | 1     |
+| 3.7790     | 3.6344          | 2     |
+| 3.7061     | 3.5923          | 3     |
+| 3.6476     | 3.5653          | 4     |
+| 3.6003     | 3.5513          | 5     |
+| 3.5578     | 3.5360          | 6     |
+| 3.5204     | 3.5277          | 7     |
+| 3.4843     | 3.5171          | 8     |
+| 3.4514     | 3.5117          | 9     |
+| 3.4194     | 3.5048          | 10    |
+| 3.3903     | 3.5040          | 11    |
+| 3.3627     | 3.5006          | 12    |
+| 3.3332     | 3.5006          | 13    |
+| 3.3052     | 3.5019          | 14    |
+| 3.2772     | 3.5051          | 15    |
+| 3.2514     | 3.5043          | 16    |
+| 3.2249     | 3.5026          | 17    |
+| 3.2019     | 3.5129          | 18    |
+| 3.1769     | 3.5116          | 19    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1665047898.c89fd8197338.67.0.v2

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tf_model.h5

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