End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0389
-- Accuracy: 0.9938
-- F1: 0.9938
-- Precision: 0.9938
-- Recall: 0.9938
+- Loss: 0.1800
+- Accuracy: 0.9647
+- F1: 0.9647
+- Precision: 0.9647
+- Recall: 0.9647
 
 ## Model description
 
@@ -54,18 +54,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.2345        | 1.0   | 160  | 0.1980          | 0.9437   | 0.9437 | 0.9449    | 0.9437 |
-| 0.2676        | 2.0   | 320  | 0.1086          | 0.9844   | 0.9844 | 0.9848    | 0.9844 |
-| 0.0393        | 3.0   | 480  | 0.1011          | 0.9812   | 0.9812 | 0.9816    | 0.9812 |
-| 0.1025        | 4.0   | 640  | 0.0389          | 0.9938   | 0.9938 | 0.9938    | 0.9938 |
-| 0.0004        | 5.0   | 800  | 0.0654          | 0.9875   | 0.9875 | 0.9876    | 0.9875 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.704         | 1.0   | 8000  | 0.6933          | 0.5      | 0.3333 | 0.25      | 0.5    |
+| 0.6926        | 2.0   | 16000 | 0.6980          | 0.5      | 0.3333 | 0.25      | 0.5    |
+| 0.0099        | 3.0   | 24000 | 0.1800          | 0.9647   | 0.9647 | 0.9647    | 0.9647 |
+| 0.2727        | 4.0   | 32000 | 0.2243          | 0.9526   | 0.9526 | 0.9527    | 0.9526 |
+| 0.0618        | 5.0   | 40000 | 0.2128          | 0.9536   | 0.9536 | 0.9546    | 0.9536 |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
+- Transformers 4.32.1
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- Datasets 2.12.0
+- Tokenizers 0.13.2

merges.txt

@@ -1,4 +1,4 @@
-#version: 0.2
+#version: 0.2 - Trained by `huggingface/tokenizers`
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pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:485e39cb2e356fb2d36785bccce13b83b6bd307b1f091f5c744b507188240327
 size 498658094

tokenizer.json

@@ -21,7 +21,7 @@
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": true,
+      "normalized": false,
       "special": true
     },
     {
@@ -30,7 +30,7 @@
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": true,
+      "normalized": false,
       "special": true
     },
     {
@@ -39,7 +39,7 @@
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": true,
+      "normalized": false,
       "special": true
     },
     {
@@ -48,7 +48,7 @@
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": true,
+      "normalized": false,
       "special": true
     },
     {
@@ -94,7 +94,6 @@
     "continuing_subword_prefix": "",
     "end_of_word_suffix": "",
     "fuse_unk": false,
-    "byte_fallback": false,
     "vocab": {
       "<s>": 0,
       "<pad>": 1,

tokenizer_config.json

@@ -1,47 +1,5 @@
 {
   "add_prefix_space": false,
-  "added_tokens_decoder": {
-    "0": {
-      "content": "<s>",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "1": {
-      "content": "<pad>",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "2": {
-      "content": "</s>",
-      "lstrip": false,
-      "normalized": true,
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-    "3": {
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-    "50264": {
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-      "lstrip": true,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    }
-  },
   "bos_token": "<s>",
   "clean_up_tokenization_spaces": true,
   "cls_token": "<s>",