rupav02gmail
/

MLMA_GPT_Lab8_custom_trained

Token Classification

Generated from Trainer

text-generation-inference

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

rupav02gmail commited on Apr 14, 2024

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Training complete

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README.md +8 -8

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@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1453
-- Precision: 0.5548
-- Recall: 0.6041
-- F1: 0.5784
-- Accuracy: 0.9556
 ## Model description
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 474  | 0.1675          | 0.4207    | 0.3972 | 0.4086 | 0.9442   |
-| 0.227         | 2.0   | 948  | 0.1660          | 0.4922    | 0.5990 | 0.5404 | 0.9474   |
-| 0.1304        | 3.0   | 1422 | 0.1453          | 0.5548    | 0.6041 | 0.5784 | 0.9556   |
 ### Framework versions

 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1406
+- Precision: 0.5275
+- Recall: 0.5723
+- F1: 0.5490
+- Accuracy: 0.9563
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 474  | 0.1706          | 0.4389    | 0.3693 | 0.4011 | 0.9452   |
+| 0.2264        | 2.0   | 948  | 0.1624          | 0.4957    | 0.5850 | 0.5367 | 0.9495   |
+| 0.1305        | 3.0   | 1422 | 0.1406          | 0.5275    | 0.5723 | 0.5490 | 0.9563   |
 ### Framework versions