ali2066
/

finetuned_token_2e-05_16_02_2022-01_55_54

Token Classification

generated_from_trainer

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ali2066 commited on Feb 16, 2022

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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1752
-- Precision: 0.3169
-- Recall: 0.3461
-- F1: 0.3309
-- Accuracy: 0.9438
 ## Model description
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 38   | 0.3243          | 0.0841    | 0.1952 | 0.1176 | 0.8469   |
-| No log        | 2.0   | 76   | 0.2742          | 0.1768    | 0.2815 | 0.2172 | 0.8855   |
-| No log        | 3.0   | 114  | 0.2556          | 0.1972    | 0.2642 | 0.2258 | 0.8936   |
-| No log        | 4.0   | 152  | 0.2497          | 0.2278    | 0.3230 | 0.2671 | 0.8972   |
-| No log        | 5.0   | 190  | 0.2439          | 0.2279    | 0.3523 | 0.2768 | 0.9004   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1722
+- Precision: 0.3378
+- Recall: 0.3615
+- F1: 0.3492
+- Accuracy: 0.9448
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 38   | 0.3781          | 0.1512    | 0.2671 | 0.1931 | 0.8216   |
+| No log        | 2.0   | 76   | 0.3020          | 0.1748    | 0.2938 | 0.2192 | 0.8551   |
+| No log        | 3.0   | 114  | 0.2723          | 0.1938    | 0.3339 | 0.2452 | 0.8663   |
+| No log        | 4.0   | 152  | 0.2574          | 0.2119    | 0.3506 | 0.2642 | 0.8727   |
+| No log        | 5.0   | 190  | 0.2521          | 0.2121    | 0.3623 | 0.2676 | 0.8756   |
 ### Framework versions