update model card README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: mit
 tags:
 - generated_from_trainer
 model-index:
@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mbti-career
 
-This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3400
+- Loss: 0.3516
 
 ## Model description
 
@@ -40,17 +40,37 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 300
-- num_epochs: 3
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.6344        | 0.59  | 100  | 0.5630          |
-| 0.5653        | 1.18  | 200  | 0.4788          |
-| 0.4784        | 1.76  | 300  | 0.4241          |
-| 0.3999        | 2.35  | 400  | 0.3505          |
-| 0.3595        | 2.94  | 500  | 0.3400          |
+| 0.6547        | 0.59  | 100  | 0.6169          |
+| 0.5967        | 1.18  | 200  | 0.5943          |
+| 0.5872        | 1.76  | 300  | 0.5696          |
+| 0.554         | 2.35  | 400  | 0.5287          |
+| 0.5041        | 2.94  | 500  | 0.4890          |
+| 0.4773        | 3.53  | 600  | 0.4895          |
+| 0.4691        | 4.12  | 700  | 0.4840          |
+| 0.4253        | 4.71  | 800  | 0.4573          |
+| 0.4002        | 5.29  | 900  | 0.4240          |
+| 0.3813        | 5.88  | 1000 | 0.4031          |
+| 0.3561        | 6.47  | 1100 | 0.3943          |
+| 0.3359        | 7.06  | 1200 | 0.3864          |
+| 0.3126        | 7.65  | 1300 | 0.3889          |
+| 0.2948        | 8.24  | 1400 | 0.3869          |
+| 0.2816        | 8.82  | 1500 | 0.3788          |
+| 0.2522        | 9.41  | 1600 | 0.3891          |
+| 0.2451        | 10.0  | 1700 | 0.3849          |
+| 0.2148        | 10.59 | 1800 | 0.3784          |
+| 0.2132        | 11.18 | 1900 | 0.3716          |
+| 0.1882        | 11.76 | 2000 | 0.3659          |
+| 0.1754        | 12.35 | 2100 | 0.3737          |
+| 0.169         | 12.94 | 2200 | 0.3711          |
+| 0.1559        | 13.53 | 2300 | 0.3672          |
+| 0.1537        | 14.12 | 2400 | 0.3391          |
+| 0.1427        | 14.71 | 2500 | 0.3516          |
 
 
 ### Framework versions