End of training

README.md

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+---
+license: lgpl-3.0
+base_model: sdadas/polish-roberta-base-v2
+tags:
+- generated_from_trainer
+datasets:
+- nkjp1m
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: polish-roberta-base-v2-cposes-tagging
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: nkjp1m
+      type: nkjp1m
+      config: nkjp1m
+      split: test
+      args: nkjp1m
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9913009231909743
+    - name: Recall
+      type: recall
+      value: 0.9912435137138621
+    - name: F1
+      type: f1
+      value: 0.9912722176212015
+    - name: Accuracy
+      type: accuracy
+      value: 0.9889172310669364
+---
+
+<!-- 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. -->
+
+# polish-roberta-base-v2-cposes-tagging
+
+This model is a fine-tuned version of [sdadas/polish-roberta-base-v2](https://huggingface.co/sdadas/polish-roberta-base-v2) on the nkjp1m dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0458
+- Precision: 0.9913
+- Recall: 0.9912
+- F1: 0.9913
+- Accuracy: 0.9889
+
+## 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: 2e-05
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0471        | 1.0   | 2155 | 0.0491          | 0.9896    | 0.9900 | 0.9898 | 0.9873   |
+| 0.0291        | 2.0   | 4310 | 0.0467          | 0.9901    | 0.9905 | 0.9903 | 0.9884   |
+| 0.0191        | 3.0   | 6465 | 0.0458          | 0.9913    | 0.9912 | 0.9913 | 0.9889   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "sdadas/polish-roberta-base-v2",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "A",
+    "1": "Adv",
+    "2": "Comp",
+    "3": "Conj",
+    "4": "Dig",
+    "5": "Interj",
+    "6": "N",
+    "7": "Num",
+    "8": "Part",
+    "9": "Prep",
+    "10": "Punct",
+    "11": "V",
+    "12": "X"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "A": 0,
+    "Adv": 1,
+    "Comp": 2,
+    "Conj": 3,
+    "Dig": 4,
+    "Interj": 5,
+    "N": 6,
+    "Num": 7,
+    "Part": 8,
+    "Prep": 9,
+    "Punct": 10,
+    "V": 11,
+    "X": 12
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50001
+}

model.safetensors

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runs/Dec10_11-22-17_fe00a074a773/events.out.tfevents.1702207337.fe00a074a773.112.0

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special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50000": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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