Upload 8 files

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilroberta-base",
+  "_name_or_path": "roberta-base",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
@@ -96,12 +96,12 @@
   "max_position_embeddings": 514,
   "model_type": "roberta",
   "num_attention_heads": 12,
-  "num_hidden_layers": 6,
+  "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "problem_type": "multi_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.26.0",
+  "transformers_version": "4.28.1",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:afe9fdc4cadd110c5535272f53141ffb9af7ff2ee16860eb1cd5b3db34a68a75
-size 328630645
+oid sha256:d9183a055cc3328fb7f52ee9bc4a56fe3481d2812116ebe62e8094fe95e5f641
+size 498772789

results.txt

@@ -1,47 +1,47 @@
-{"f1_micro": 0.5894077448747151, "f1_macro": 0.5742826189045889, "p_macro": 0.5777223160436127, "p_micro": 0.583756345177665, "r_macro": 0.6338187993226557, "r_micro": 0.5951696377228292}
+{"f1_micro": 0.6044294925707878, "f1_macro": 0.5869890898362741, "p_macro": 0.5789868714952907, "p_micro": 0.5897155361050328, "r_macro": 0.6578820391425064, "r_micro": 0.6198964922369178}
                 precision    recall  f1-score   support
 
-    admiration     0.8049    0.3000    0.4371       110
-     amusement     0.7377    0.8654    0.7965        52
-         anger     0.7424    0.6806    0.7101        72
-     annoyance     0.4557    0.6316    0.5294        57
-      approval     0.8571    0.4898    0.6234        98
-       boredom     0.6806    0.9245    0.7840        53
-      calmness     0.6481    0.7778    0.7071        45
-        caring     0.7761    0.8125    0.7939        64
-       courage     0.5167    0.7381    0.6078        42
-     curiosity     0.7714    0.8060    0.7883        67
-        desire     0.7922    0.7531    0.7722        81
-       despair     0.7111    0.7273    0.7191        44
-disappointment     0.4211    0.4103    0.4156        39
-   disapproval     0.5357    0.2703    0.3593       111
-       disgust     0.7059    0.3333    0.4528        72
-         doubt     0.5938    0.4419    0.5067        43
- embarrassment     0.5769    0.6818    0.6250        22
-          envy     0.3171    0.9286    0.4727        14
-    excitement     0.5000    0.6316    0.5581        38
-         faith     0.3846    0.7692    0.5128        13
-          fear     0.4118    0.3590    0.3836        39
-   frustration     0.5625    0.6667    0.6102        54
-     gratitude     0.2647    0.6429    0.3750        14
-         greed     0.6957    0.6400    0.6667        25
+    admiration     0.7778    0.3182    0.4516       110
+     amusement     0.7031    0.8654    0.7759        52
+         anger     0.7246    0.6944    0.7092        72
+     annoyance     0.5250    0.7368    0.6131        57
+      approval     0.8333    0.5102    0.6329        98
+       boredom     0.6533    0.9245    0.7656        53
+      calmness     0.7200    0.8000    0.7579        45
+        caring     0.7826    0.8438    0.8120        64
+       courage     0.5574    0.8095    0.6602        42
+     curiosity     0.7746    0.8209    0.7971        67
+        desire     0.8125    0.8025    0.8075        81
+       despair     0.7857    0.7500    0.7674        44
+disappointment     0.4186    0.4615    0.4390        39
+   disapproval     0.4915    0.2613    0.3412       111
+       disgust     0.7429    0.3611    0.4860        72
+         doubt     0.6071    0.3953    0.4789        43
+ embarrassment     0.4688    0.6818    0.5556        22
+          envy     0.3023    0.9286    0.4561        14
+    excitement     0.5417    0.6842    0.6047        38
+         faith     0.3704    0.7692    0.5000        13
+          fear     0.5143    0.4615    0.4865        39
+   frustration     0.5574    0.6296    0.5913        54
+     gratitude     0.2121    0.5000    0.2979        14
+         greed     0.5769    0.6000    0.5882        25
          grief     0.2553    0.8571    0.3934        14
-         guilt     0.4500    0.6923    0.5455        13
-  indifference     0.6889    0.8378    0.7561        37
-           joy     0.8276    0.3934    0.5333        61
-          love     0.6481    0.7000    0.6731        50
+         guilt     0.4348    0.7692    0.5556        13
+  indifference     0.6667    0.8649    0.7529        37
+           joy     0.7647    0.4262    0.5474        61
+          love     0.6538    0.6800    0.6667        50
    nervousness     0.5217    0.5000    0.5106        24
-     nostalgia     0.2342    0.8966    0.3714        29
-      optimism     0.4815    0.3514    0.4062        37
-          pain     0.3235    0.5000    0.3929        22
-         pride     0.4815    0.4815    0.4815        27
-        relief     0.5135    0.7600    0.6129        25
-       sadness     0.6829    0.5385    0.6022        52
-      surprise     0.7059    0.6667    0.6857        36
-         trust     0.6750    0.6279    0.6506        43
+     nostalgia     0.2427    0.8621    0.3788        29
+      optimism     0.5517    0.4324    0.4848        37
+          pain     0.3421    0.5909    0.4333        22
+         pride     0.4848    0.5926    0.5333        27
+        relief     0.5000    0.8400    0.6269        25
+       sadness     0.6818    0.5769    0.6250        52
+      surprise     0.7222    0.7222    0.7222        36
+         trust     0.7250    0.6744    0.6988        43
 
-     micro avg     0.5838    0.5952    0.5894      1739
-     macro avg     0.5777    0.6338    0.5743      1739
-  weighted avg     0.6399    0.5952    0.5882      1739
-   samples avg     0.6329    0.6168    0.5754      1739
+     micro avg     0.5897    0.6199    0.6044      1739
+     macro avg     0.5790    0.6579    0.5870      1739
+  weighted avg     0.6415    0.6199    0.6039      1739
+   samples avg     0.6462    0.6431    0.5964      1739
 

tokenizer_config.json

@@ -1,15 +1,14 @@
 {
   "add_prefix_space": false,
   "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
   "cls_token": "<s>",
   "eos_token": "</s>",
   "errors": "replace",
   "mask_token": "<mask>",
   "model_max_length": 512,
-  "name_or_path": "distilroberta-base",
   "pad_token": "<pad>",
   "sep_token": "</s>",
-  "special_tokens_map_file": null,
   "tokenizer_class": "RobertaTokenizer",
   "trim_offsets": true,
   "unk_token": "<unk>"