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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8124
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.8061
+- Loss: 0.1356
+- Precision: 0.8055
+- Recall: 0.8642
+- F1: 0.8338
+- Accuracy: 0.9637
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.002
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -53,18 +53,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 144  | 0.9153          | 0.0       | 0.0    | 0.0 | 0.8061   |
-| No log        | 2.0   | 288  | 0.8211          | 0.0       | 0.0    | 0.0 | 0.8061   |
-| No log        | 3.0   | 432  | 0.8449          | 0.0       | 0.0    | 0.0 | 0.8061   |
-| 0.8505        | 4.0   | 576  | 0.8082          | 0.0       | 0.0    | 0.0 | 0.8061   |
-| 0.8505        | 5.0   | 720  | 0.8124          | 0.0       | 0.0    | 0.0 | 0.8061   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 144  | 0.1590          | 0.7660    | 0.7930 | 0.7793 | 0.9516   |
+| No log        | 2.0   | 288  | 0.1321          | 0.7907    | 0.8625 | 0.8250 | 0.9593   |
+| No log        | 3.0   | 432  | 0.1258          | 0.8002    | 0.8584 | 0.8283 | 0.9618   |
+| 0.1493        | 4.0   | 576  | 0.1346          | 0.8009    | 0.8658 | 0.8321 | 0.9616   |
+| 0.1493        | 5.0   | 720  | 0.1356          | 0.8055    | 0.8642 | 0.8338 | 0.9637   |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
-- Pytorch 2.0.0
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1

added_tokens.json

@@ -1,7 +1,7 @@
 {
-  "[CLS]": 104,
+  "[CLS]": 101,
   "[MASK]": 103,
   "[PAD]": 0,
-  "[SEP]": 105,
+  "[SEP]": 102,
   "[UNK]": 100
 }

config.json

@@ -44,7 +44,7 @@
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.33.0",
+  "transformers_version": "4.34.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 119547

pytorch_model.bin

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tokenizer.json

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tokenizer_config.json

@@ -1,4 +1,47 @@
 {
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "102": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
   "do_lower_case": false,

training_args.bin

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