End of training

README.md

@@ -1,13 +1,6 @@
 ---
-license: apache-2.0
-base_model: ai-forever/ruBert-base
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: ruBert-base-finetuned-pos
   results: []
@@ -18,13 +11,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ruBert-base-finetuned-pos
 
-This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBert-base) on the None dataset.
+This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1544
-- Precision: 0.8561
-- Recall: 0.8723
-- F1: 0.8642
-- Accuracy: 0.8822
+- eval_loss: 0.1544
+- eval_precision: 0.8561
+- eval_recall: 0.8723
+- eval_f1: 0.8642
+- eval_accuracy: 0.8822
+- eval_runtime: 0.2476
+- eval_samples_per_second: 80.775
+- eval_steps_per_second: 8.078
+- step: 0
 
 ## Model description
 
@@ -44,24 +41,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 311  | 0.1686          | 0.8380    | 0.8440 | 0.8410 | 0.8565   |
-| 0.0464        | 2.0   | 622  | 0.1597          | 0.8462    | 0.8582 | 0.8521 | 0.8715   |
-| 0.0464        | 3.0   | 933  | 0.1544          | 0.8561    | 0.8723 | 0.8642 | 0.8822   |
-| 0.0046        | 4.0   | 1244 | 0.1564          | 0.8469    | 0.8629 | 0.8548 | 0.8737   |
-| 0.0029        | 5.0   | 1555 | 0.1556          | 0.8538    | 0.8700 | 0.8618 | 0.8801   |
-
-
 ### Framework versions
 
 - Transformers 4.39.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "ai-forever/ruBert-base",
+  "_name_or_path": "disk0dancer/ruBert-base-finetuned-pos",
   "architectures": [
     "BertForTokenClassification"
   ],

runs/Mar22_14-23-33_699a7512e26d/events.out.tfevents.1711117413.699a7512e26d.2634.8

@@ -0,0 +1,3 @@
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+size 486

special_tokens_map.json

@@ -1,7 +1,37 @@
 {
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
 }

training_args.bin

@@ -1,3 +1,3 @@
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-size 4920
+oid sha256:34bc76b0557eb7f8a7a476ab0190c118a6c48b3026a2da0b78707ea10a67f7bb
+size 4984