End of training

README.md

@@ -13,12 +13,12 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/boghdady95/huggingface/runs/rz5986jx)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/boghdady95/huggingface/runs/q49i6qgl)
 # my_awesome_eli5_mlm_model
 
 This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the eli5_category dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0106
+- Loss: 0.0152
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 43   | 0.0560          |
-| No log        | 2.0   | 86   | 0.0169          |
-| No log        | 3.0   | 129  | 0.0168          |
+| No log        | 1.0   | 43   | 0.0509          |
+| No log        | 2.0   | 86   | 0.0187          |
+| No log        | 3.0   | 129  | 0.0171          |
 
 
 ### Framework versions
 
 - Transformers 4.42.3
-- Pytorch 2.1.2+cpu
+- Pytorch 2.1.2
 - Datasets 2.20.0
 - Tokenizers 0.19.1

runs/Jul23_08-31-19_c9a0361e418e/events.out.tfevents.1721723565.c9a0361e418e.34.1

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