End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: distilroberta-base
 tags:
 - generated_from_trainer
+datasets:
+- eli5_category
 model-index:
 - name: mask-langauge-modeling
   results: []
@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mask-langauge-modeling
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the eli5_category dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4731
+- Loss: 2.8290
 
 ## Model description
 
@@ -34,30 +36,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
+- learning_rate: 0.0003
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 12
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.8107        | 1.0   | 598  | 0.8552          |
-| 0.8572        | 2.0   | 1196 | 0.8273          |
-| 0.8655        | 3.0   | 1794 | 0.7705          |
-| 0.8348        | 4.0   | 2392 | 0.7156          |
-| 0.792         | 5.0   | 2990 | 0.6761          |
-| 0.701         | 6.0   | 3588 | 0.6323          |
-| 0.665         | 7.0   | 4186 | 0.6005          |
-| 0.6257        | 8.0   | 4784 | 0.5602          |
-| 0.5966        | 9.0   | 5382 | 0.5298          |
-| 0.5674        | 10.0  | 5980 | 0.5153          |
-| 0.5102        | 11.0  | 6578 | 0.4995          |
-| 0.4888        | 12.0  | 7176 | 0.4816          |
+| 2.4564        | 1.0   | 721  | 2.8947          |
+| 2.2249        | 2.0   | 1442 | 2.7831          |
 
 
 ### Framework versions

model.safetensors

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runs/May21_11-32-57_d6267c37c073/events.out.tfevents.1716291177.d6267c37c073.34.9

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