End of training

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README.md +20 -26
added_tokens.json +25 -1180
config.json +2 -2
model.safetensors +2 -2
runs/Feb05_18-38-22_Lees-MacBook-Pro.local/events.out.tfevents.1738805902.Lees-MacBook-Pro.local +3 -0
special_tokens_map.json +3 -21
tokenizer.json +2 -2
tokenizer_config.json +2 -2
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -9,11 +9,14 @@ 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. -->
 # train_2
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1944
 ## Model description
@@ -43,31 +46,22 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 1.7988        | 1.0   | 905   | 7.8026          |
-| 1.0102        | 2.0   | 1810  | 2.3353          |
-| 0.3427        | 3.0   | 2715  | 1.2595          |
-| 0.2379        | 4.0   | 3620  | 0.8825          |
-| 0.189         | 5.0   | 4525  | 0.6379          |
-| 0.1718        | 6.0   | 5430  | 0.4706          |
-| 0.1389        | 7.0   | 6335  | 0.3872          |
-| 0.1151        | 8.0   | 7240  | 0.3151          |
-| 0.0996        | 9.0   | 8145  | 0.2532          |
-| 0.089         | 10.0  | 9050  | 0.2301          |
-| 0.0825        | 11.0  | 9955  | 0.2173          |
-| 0.0775        | 12.0  | 10860 | 0.2077          |
-| 0.0735        | 13.0  | 11765 | 0.2059          |
-| 0.0704        | 14.0  | 12670 | 0.1962          |
-| 0.0689        | 15.0  | 13575 | 0.1961          |
-| 0.0677        | 16.0  | 14480 | 0.1960          |
-| 0.0661        | 17.0  | 15385 | 0.1944          |
-| 0.066         | 18.0  | 16290 | 0.1926          |
-| 0.0643        | 19.0  | 17195 | 0.1929          |
-| 0.0639        | 20.0  | 18100 | 0.1916          |
-| 0.062         | 21.0  | 19005 | 0.1904          |
-| 0.0617        | 22.0  | 19910 | 0.1932          |
-| 0.0611        | 23.0  | 20815 | 0.1944          |
 ### Framework versions

 <!-- 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
 ## Model description
 ### 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          |
 ### Framework versions

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