End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: valueeval24-bert-baseline-toy-2024-02-27
+  results: []
+---
+
+<!-- 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. -->
+
+# valueeval24-bert-baseline-toy-2024-02-27
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5490
+- F1-score: {0: 0, 1: 0.67, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0, 7: 0, 8: 0, 9: 0, 10: 0.33, 11: 0, 12: 0, 13: 0, 14: 0, 15: 0, 16: 0, 17: 0, 18: 0, 19: 0, 20: 0, 21: 0, 22: 0, 23: 0, 24: 0, 25: 0, 26: 0, 27: 0, 28: 0, 29: 0, 30: 0, 31: 0.33, 32: 0, 33: 0, 34: 0, 35: 0, 36: 0, 37: 0}
+- Marco-avg-f1-score: 0.04
+
+## 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: 8
+- 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 4.38.0
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Self-direction: thought attained",
+    "1": "Self-direction: thought constrained",
+    "2": "Self-direction: action attained",
+    "3": "Self-direction: action constrained",
+    "4": "Stimulation attained",
+    "5": "Stimulation constrained",
+    "6": "Hedonism attained",
+    "7": "Hedonism constrained",
+    "8": "Achievement attained",
+    "9": "Achievement constrained",
+    "10": "Power: dominance attained",
+    "11": "Power: dominance constrained",
+    "12": "Power: resources attained",
+    "13": "Power: resources constrained",
+    "14": "Face attained",
+    "15": "Face constrained",
+    "16": "Security: personal attained",
+    "17": "Security: personal constrained",
+    "18": "Security: societal attained",
+    "19": "Security: societal constrained",
+    "20": "Tradition attained",
+    "21": "Tradition constrained",
+    "22": "Conformity: rules attained",
+    "23": "Conformity: rules constrained",
+    "24": "Conformity: interpersonal attained",
+    "25": "Conformity: interpersonal constrained",
+    "26": "Humility attained",
+    "27": "Humility constrained",
+    "28": "Benevolence: caring attained",
+    "29": "Benevolence: caring constrained",
+    "30": "Benevolence: dependability attained",
+    "31": "Benevolence: dependability constrained",
+    "32": "Universalism: concern attained",
+    "33": "Universalism: concern constrained",
+    "34": "Universalism: nature attained",
+    "35": "Universalism: nature constrained",
+    "36": "Universalism: tolerance attained",
+    "37": "Universalism: tolerance constrained"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Achievement attained": 8,
+    "Achievement constrained": 9,
+    "Benevolence: caring attained": 28,
+    "Benevolence: caring constrained": 29,
+    "Benevolence: dependability attained": 30,
+    "Benevolence: dependability constrained": 31,
+    "Conformity: interpersonal attained": 24,
+    "Conformity: interpersonal constrained": 25,
+    "Conformity: rules attained": 22,
+    "Conformity: rules constrained": 23,
+    "Face attained": 14,
+    "Face constrained": 15,
+    "Hedonism attained": 6,
+    "Hedonism constrained": 7,
+    "Humility attained": 26,
+    "Humility constrained": 27,
+    "Power: dominance attained": 10,
+    "Power: dominance constrained": 11,
+    "Power: resources attained": 12,
+    "Power: resources constrained": 13,
+    "Security: personal attained": 16,
+    "Security: personal constrained": 17,
+    "Security: societal attained": 18,
+    "Security: societal constrained": 19,
+    "Self-direction: action attained": 2,
+    "Self-direction: action constrained": 3,
+    "Self-direction: thought attained": 0,
+    "Self-direction: thought constrained": 1,
+    "Stimulation attained": 4,
+    "Stimulation constrained": 5,
+    "Tradition attained": 20,
+    "Tradition constrained": 21,
+    "Universalism: concern attained": 32,
+    "Universalism: concern constrained": 33,
+    "Universalism: nature attained": 34,
+    "Universalism: nature constrained": 35,
+    "Universalism: tolerance attained": 36,
+    "Universalism: tolerance constrained": 37
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cc010033dd53dd7bf152b76ed8fc60001a72bd5251e74ed75e8aa7e8b80e335d
+size 438069384

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "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": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4920