End of training

README.md

@@ -6,16 +6,18 @@ tags:
 datasets:
 - eli5_category
 model-index:
-- name: my_awesome_eli5_clm-model
+- name: eli5-test
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# my_awesome_eli5_clm-model
+# eli5-test
 
 This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the eli5_category dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8873
 
 ## Model description
 
@@ -42,6 +44,15 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 7    | 3.8943          |
+| No log        | 2.0   | 14   | 3.8883          |
+| No log        | 3.0   | 21   | 3.8873          |
+
+
 ### Framework versions
 
 - Transformers 4.42.4

runs/Aug09_19-48-05_70b0ac353976/events.out.tfevents.1723232886.70b0ac353976.168.0

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+size 6306

runs/Aug09_19-48-05_70b0ac353976/events.out.tfevents.1723233166.70b0ac353976.168.1

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