End of training

README.md

@@ -0,0 +1,86 @@
+---
+base_model: ai-forever/ruBert-large
+tags:
+- generated_from_trainer
+datasets:
+- universal_dependencies
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: ruBert-large-upos
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: universal_dependencies
+      type: universal_dependencies
+      config: ru_syntagrus
+      split: validation
+      args: ru_syntagrus
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.7868756986512067
+    - name: Recall
+      type: recall
+      value: 0.7638984758119328
+    - name: F1
+      type: f1
+      value: 0.772014566268761
+    - name: Accuracy
+      type: accuracy
+      value: 0.8826334008229377
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ruBert-large-upos
+
+This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingface.co/ai-forever/ruBert-large) on the universal_dependencies dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8204
+- Precision: 0.7869
+- Recall: 0.7639
+- F1: 0.7720
+- Accuracy: 0.8826
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 1.11.0a0+17540c5
+- Datasets 2.21.0
+- Tokenizers 0.15.2

config.json

@@ -64,7 +64,7 @@
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.42.4",
+  "transformers_version": "4.39.3",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 120138

model.safetensors

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training_args.bin

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