update model card README.md

README.md

@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3785
-- Micro f1: 0.5031
-- Macro f1: 0.0317
+- Loss: 0.1391
+- Micro f1: 0.5005
+- Macro f1: 0.0340
 
 ## Model description
 
@@ -36,7 +36,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 512
+- train_batch_size: 128
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
-| No log        | 1.0   | 4    | 0.6548          | 0.2035   | 0.0412   |
-| No log        | 2.0   | 8    | 0.5953          | 0.2747   | 0.0395   |
-| No log        | 3.0   | 12   | 0.5509          | 0.3474   | 0.0376   |
-| No log        | 4.0   | 16   | 0.5159          | 0.4098   | 0.0375   |
-| No log        | 5.0   | 20   | 0.4859          | 0.4842   | 0.0362   |
-| No log        | 6.0   | 24   | 0.4625          | 0.4875   | 0.0315   |
-| No log        | 7.0   | 28   | 0.4434          | 0.4893   | 0.0315   |
-| No log        | 8.0   | 32   | 0.4268          | 0.4906   | 0.0315   |
-| No log        | 9.0   | 36   | 0.4134          | 0.4920   | 0.0306   |
-| No log        | 10.0  | 40   | 0.4027          | 0.4943   | 0.0308   |
-| No log        | 11.0  | 44   | 0.3939          | 0.4952   | 0.0309   |
-| No log        | 12.0  | 48   | 0.3872          | 0.4986   | 0.0312   |
-| No log        | 13.0  | 52   | 0.3824          | 0.5025   | 0.0316   |
-| No log        | 14.0  | 56   | 0.3796          | 0.5033   | 0.0317   |
-| No log        | 15.0  | 60   | 0.3785          | 0.5031   | 0.0317   |
+| No log        | 1.0   | 13   | 0.3988          | 0.3783   | 0.0172   |
+| No log        | 2.0   | 26   | 0.3288          | 0.3791   | 0.0172   |
+| No log        | 3.0   | 39   | 0.2753          | 0.3791   | 0.0172   |
+| No log        | 4.0   | 52   | 0.2347          | 0.3791   | 0.0172   |
+| No log        | 5.0   | 65   | 0.2051          | 0.3791   | 0.0172   |
+| No log        | 6.0   | 78   | 0.1849          | 0.3791   | 0.0172   |
+| No log        | 7.0   | 91   | 0.1710          | 0.3791   | 0.0172   |
+| No log        | 8.0   | 104  | 0.1614          | 0.3791   | 0.0172   |
+| No log        | 9.0   | 117  | 0.1546          | 0.3791   | 0.0172   |
+| No log        | 10.0  | 130  | 0.1497          | 0.3796   | 0.0173   |
+| No log        | 11.0  | 143  | 0.1458          | 0.4143   | 0.0238   |
+| No log        | 12.0  | 156  | 0.1427          | 0.4567   | 0.0295   |
+| No log        | 13.0  | 169  | 0.1406          | 0.4709   | 0.0310   |
+| No log        | 14.0  | 182  | 0.1391          | 0.4886   | 0.0327   |
+| No log        | 15.0  | 195  | 0.1386          | 0.4909   | 0.0330   |
 
 
 ### Framework versions
 
-- Transformers 4.24.0
-- Pytorch 1.12.1+cu113
-- Datasets 2.7.1
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
 - Tokenizers 0.13.2