End of training

README.md

@@ -9,14 +9,11 @@ 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/thalesian-university-of-new-mexico-press/huggingface/runs/fxb2lxiz)
-[<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/thalesian-university-of-new-mexico-press/huggingface/runs/fxb2lxiz)
-[<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/thalesian-university-of-new-mexico-press/huggingface/runs/fxb2lxiz)
 # train_2
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2508
+- Loss: 0.1708
 
 ## Model description
 
@@ -46,22 +43,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 392  | 4.1375          |
-| 0.5941        | 2.0   | 784  | 2.4509          |
-| 0.426         | 3.0   | 1176 | 2.0721          |
-| 0.3098        | 4.0   | 1568 | 1.8114          |
-| 0.3098        | 5.0   | 1960 | 1.5420          |
-| 0.2603        | 6.0   | 2352 | 1.4022          |
-| 0.2282        | 7.0   | 2744 | 1.3290          |
-| 0.2031        | 8.0   | 3136 | 1.2715          |
-| 0.1889        | 9.0   | 3528 | 1.2754          |
-| 0.1889        | 10.0  | 3920 | 1.2582          |
-| 0.1798        | 11.0  | 4312 | 1.2484          |
-| 0.1727        | 12.0  | 4704 | 1.2436          |
-| 0.1662        | 13.0  | 5096 | 1.2506          |
-| 0.1662        | 14.0  | 5488 | 1.2508          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4186        | 1.0   | 1840  | 1.7597          |
+| 0.0999        | 2.0   | 3680  | 0.4629          |
+| 0.0711        | 3.0   | 5520  | 0.2730          |
+| 0.059         | 4.0   | 7360  | 0.1899          |
+| 0.0474        | 5.0   | 9200  | 0.1696          |
+| 0.0469        | 6.0   | 11040 | 0.1704          |
+| 0.0437        | 7.0   | 12880 | 0.1680          |
+| 0.0429        | 8.0   | 14720 | 0.1691          |
+| 0.0436        | 9.0   | 16560 | 0.1708          |
 
 
 ### Framework versions

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config.json

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