End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3302
-- Accuracy: 0.784
+- Loss: 0.3202
+- Accuracy: 0.7915
 
 ## Model description
 
@@ -43,7 +43,7 @@ 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: 600
-- num_epochs: 3
+- num_epochs: 6
 
 ### Training results
 
@@ -69,11 +69,36 @@ The following hyperparameters were used during training:
 | 0.3247        | 2.16  | 540  | 0.3573          | 0.766    |
 | 0.3242        | 2.28  | 570  | 0.3526          | 0.7775   |
 | 0.4003        | 2.4   | 600  | 0.3413          | 0.7785   |
-| 0.352         | 2.52  | 630  | 0.3547          | 0.763    |
-| 0.3521        | 2.64  | 660  | 0.3449          | 0.7835   |
-| 0.29          | 2.76  | 690  | 0.3270          | 0.7875   |
-| 0.3017        | 2.88  | 720  | 0.3302          | 0.784    |
-| 0.3086        | 3.0   | 750  | 0.3401          | 0.782    |
+| 0.353         | 2.52  | 630  | 0.3519          | 0.765    |
+| 0.3557        | 2.64  | 660  | 0.3421          | 0.7845   |
+| 0.3013        | 2.76  | 690  | 0.3291          | 0.7855   |
+| 0.3034        | 2.88  | 720  | 0.3306          | 0.779    |
+| 0.3146        | 3.0   | 750  | 0.3554          | 0.767    |
+| 0.2856        | 3.12  | 780  | 0.3333          | 0.7825   |
+| 0.2764        | 3.24  | 810  | 0.3353          | 0.7795   |
+| 0.2844        | 3.36  | 840  | 0.3202          | 0.7915   |
+| 0.2531        | 3.48  | 870  | 0.3388          | 0.7815   |
+| 0.3134        | 3.6   | 900  | 0.3497          | 0.7775   |
+| 0.2874        | 3.72  | 930  | 0.3427          | 0.787    |
+| 0.2822        | 3.84  | 960  | 0.3328          | 0.7805   |
+| 0.2963        | 3.96  | 990  | 0.3375          | 0.7885   |
+| 0.2014        | 4.08  | 1020 | 0.3579          | 0.787    |
+| 0.2275        | 4.2   | 1050 | 0.3472          | 0.7905   |
+| 0.2758        | 4.32  | 1080 | 0.3497          | 0.7915   |
+| 0.2552        | 4.44  | 1110 | 0.3555          | 0.775    |
+| 0.228         | 4.56  | 1140 | 0.3494          | 0.784    |
+| 0.2471        | 4.68  | 1170 | 0.3451          | 0.787    |
+| 0.2505        | 4.8   | 1200 | 0.3508          | 0.7825   |
+| 0.2453        | 4.92  | 1230 | 0.3539          | 0.785    |
+| 0.2296        | 5.04  | 1260 | 0.3505          | 0.791    |
+| 0.2449        | 5.16  | 1290 | 0.3602          | 0.7835   |
+| 0.2171        | 5.28  | 1320 | 0.3630          | 0.782    |
+| 0.237         | 5.4   | 1350 | 0.3552          | 0.789    |
+| 0.1885        | 5.52  | 1380 | 0.3730          | 0.7795   |
+| 0.2428        | 5.64  | 1410 | 0.3547          | 0.7925   |
+| 0.225         | 5.76  | 1440 | 0.3586          | 0.7835   |
+| 0.2513        | 5.88  | 1470 | 0.3586          | 0.786    |
+| 0.2241        | 6.0   | 1500 | 0.3580          | 0.787    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b88baba7c251f0a25848917e2e428dc46641bc2914a0d1bde20498f8ef44ebd
+oid sha256:6e574f915d7714b103099b88b3c01f089b14be113cbfdc53a8e5a868e292d96c
 size 498661166