End of training

README.md

@@ -0,0 +1,119 @@
+---
+license: mit
+base_model: roberta-large
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-large_ALL_BCE_translated_data_multihead_19_shuffled_special_tokens_final
+  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. -->
+
+# roberta-large_ALL_BCE_translated_data_multihead_19_shuffled_special_tokens_final
+
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4623
+- F1 Macro 0.1: 0.1265
+- F1 Macro 0.15: 0.1685
+- F1 Macro 0.2: 0.2066
+- F1 Macro 0.25: 0.2414
+- F1 Macro 0.3: 0.2734
+- F1 Macro 0.35: 0.3042
+- F1 Macro 0.4: 0.3334
+- F1 Macro 0.45: 0.3608
+- F1 Macro 0.5: 0.3883
+- F1 Macro 0.55: 0.4138
+- F1 Macro 0.6: 0.4399
+- F1 Macro 0.65: 0.4650
+- F1 Macro 0.7: 0.4898
+- F1 Macro 0.75: 0.5148
+- F1 Macro 0.8: 0.5380
+- F1 Macro 0.85: 0.5589
+- F1 Macro 0.9: 0.5675
+- F1 Macro 0.95: 0.5240
+- Threshold 0: 0.9
+- Threshold 1: 0.85
+- Threshold 2: 0.9
+- Threshold 3: 0.95
+- Threshold 4: 0.85
+- Threshold 5: 0.85
+- Threshold 6: 0.9
+- Threshold 7: 0.9
+- Threshold 8: 0.9
+- Threshold 9: 0.8
+- Threshold 10: 0.95
+- Threshold 11: 0.85
+- Threshold 12: 0.9
+- Threshold 13: 0.95
+- Threshold 14: 0.9
+- Threshold 15: 0.9
+- Threshold 16: 0.9
+- Threshold 17: 0.95
+- Threshold 18: 0.95
+- 0: 0.4528
+- 1: 0.4559
+- 2: 0.5380
+- 3: 0.6832
+- 4: 0.5859
+- 5: 0.5963
+- 6: 0.6048
+- 7: 0.5750
+- 8: 0.6180
+- 9: 0.6267
+- 10: 0.7001
+- 11: 0.6508
+- 12: 0.4796
+- 13: 0.3492
+- 14: 0.5842
+- 15: 0.5477
+- 16: 0.5863
+- 17: 0.7601
+- 18: 0.5831
+- Max F1: 0.5675
+- Mean F1: 0.5778
+
+## 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-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 2024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1 Macro 0.1 | F1 Macro 0.15 | F1 Macro 0.2 | F1 Macro 0.25 | F1 Macro 0.3 | F1 Macro 0.35 | F1 Macro 0.4 | F1 Macro 0.45 | F1 Macro 0.5 | F1 Macro 0.55 | F1 Macro 0.6 | F1 Macro 0.65 | F1 Macro 0.7 | F1 Macro 0.75 | F1 Macro 0.8 | F1 Macro 0.85 | F1 Macro 0.9 | F1 Macro 0.95 | Threshold 0 | Threshold 1 | Threshold 2 | Threshold 3 | Threshold 4 | Threshold 5 | Threshold 6 | Threshold 7 | Threshold 8 | Threshold 9 | Threshold 10 | Threshold 11 | Threshold 12 | Threshold 13 | Threshold 14 | Threshold 15 | Threshold 16 | Threshold 17 | Threshold 18 | 0      | 1      | 2      | 3      | 4      | 5      | 6      | 7      | 8      | 9      | 10     | 11     | 12     | 13     | 14     | 15     | 16     | 17     | 18     | Max F1 | Mean F1 |
+|:-------------:|:-----:|:-----:|:---------------:|:------------:|:-------------:|:------------:|:-------------:|:------------:|:-------------:|:------------:|:-------------:|:------------:|:-------------:|:------------:|:-------------:|:------------:|:-------------:|:------------:|:-------------:|:------------:|:-------------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:------------:|:------------:|:------------:|:------------:|:------------:|:------------:|:------------:|:------------:|:------------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:------:|:-------:|
+| 1.0816        | 1.0   | 7458  | 0.7590          | 0.0866       | 0.1168        | 0.1480       | 0.1784        | 0.2078       | 0.2358        | 0.2614       | 0.2862        | 0.3099       | 0.3346        | 0.3563       | 0.3779        | 0.3945       | 0.4110        | 0.4162       | 0.4117        | 0.3749       | 0.2469        | 0.75        | 0.75        | 0.8         | 0.8         | 0.75        | 0.85        | 0.85        | 0.8         | 0.85        | 0.75        | 0.9          | 0.8          | 0.85         | 0.75         | 0.9          | 0.85         | 0.75         | 0.9          | 0.8          | 0.2220 | 0.2864 | 0.3679 | 0.4359 | 0.4629 | 0.4666 | 0.5148 | 0.3813 | 0.4581 | 0.5339 | 0.5427 | 0.5521 | 0.3009 | 0.2251 | 0.4403 | 0.3585 | 0.4618 | 0.6699 | 0.4129 | 0.4162 | 0.4260  |
+| 0.7345        | 2.0   | 14916 | 0.5285          | 0.1075       | 0.1419        | 0.1746       | 0.2053        | 0.2342       | 0.2613        | 0.2880       | 0.3140        | 0.3397       | 0.3643        | 0.3895       | 0.4136        | 0.4384       | 0.4637        | 0.4882       | 0.5089        | 0.5194       | 0.4806        | 0.9         | 0.85        | 0.9         | 0.95        | 0.85        | 0.9         | 0.9         | 0.9         | 0.9         | 0.8         | 0.95         | 0.9          | 0.9          | 0.95         | 0.9          | 0.95         | 0.9          | 0.95         | 0.95         | 0.3721 | 0.4047 | 0.4824 | 0.6195 | 0.5458 | 0.5504 | 0.5722 | 0.5126 | 0.5609 | 0.6075 | 0.6467 | 0.6181 | 0.4059 | 0.3256 | 0.5522 | 0.4702 | 0.5553 | 0.7329 | 0.5234 | 0.5194 | 0.5294  |
+| 0.5782        | 3.0   | 22374 | 0.4623          | 0.1265       | 0.1685        | 0.2066       | 0.2414        | 0.2734       | 0.3042        | 0.3334       | 0.3608        | 0.3883       | 0.4138        | 0.4399       | 0.4650        | 0.4898       | 0.5148        | 0.5380       | 0.5589        | 0.5675       | 0.5240        | 0.9         | 0.85        | 0.9         | 0.95        | 0.85        | 0.85        | 0.9         | 0.9         | 0.9         | 0.8         | 0.95         | 0.85         | 0.9          | 0.95         | 0.9          | 0.9          | 0.9          | 0.95         | 0.95         | 0.4528 | 0.4559 | 0.5380 | 0.6832 | 0.5859 | 0.5963 | 0.6048 | 0.5750 | 0.6180 | 0.6267 | 0.7001 | 0.6508 | 0.4796 | 0.3492 | 0.5842 | 0.5477 | 0.5863 | 0.7601 | 0.5831 | 0.5675 | 0.5778  |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

added_tokens.json

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+{
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+  "<Benevolence: caring>": 50279,
+  "<Benevolence: dependability>": 50280,
+  "<Conformity: interpersonal>": 50277,
+  "<Conformity: rules>": 50276,
+  "<Face>": 50272,
+  "<Hedonism>": 50268,
+  "<Humility>": 50278,
+  "<Power: dominance>": 50270,
+  "<Power: resources>": 50271,
+  "<Security: personal>": 50273,
+  "<Security: societal>": 50274,
+  "<Self-direction: action>": 50266,
+  "<Self-direction: thought>": 50265,
+  "<Stimulation>": 50267,
+  "<Tradition>": 50275,
+  "<Universalism: concern>": 50281,
+  "<Universalism: nature>": 50282,
+  "<Universalism: tolerance>": 50283
+}

config.json

@@ -0,0 +1,70 @@
+{
+  "_name_or_path": "roberta-large",
+  "architectures": [
+    "MultiHead_MultiLabel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Self-direction: thought",
+    "1": "Self-direction: action",
+    "2": "Stimulation",
+    "3": "Hedonism",
+    "4": "Achievement",
+    "5": "Power: dominance",
+    "6": "Power: resources",
+    "7": "Face",
+    "8": "Security: personal",
+    "9": "Security: societal",
+    "10": "Tradition",
+    "11": "Conformity: rules",
+    "12": "Conformity: interpersonal",
+    "13": "Humility",
+    "14": "Benevolence: caring",
+    "15": "Benevolence: dependability",
+    "16": "Universalism: concern",
+    "17": "Universalism: nature",
+    "18": "Universalism: tolerance"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Achievement": 4,
+    "Benevolence: caring": 14,
+    "Benevolence: dependability": 15,
+    "Conformity: interpersonal": 12,
+    "Conformity: rules": 11,
+    "Face": 7,
+    "Hedonism": 3,
+    "Humility": 13,
+    "Power: dominance": 5,
+    "Power: resources": 6,
+    "Security: personal": 8,
+    "Security: societal": 9,
+    "Self-direction: action": 1,
+    "Self-direction: thought": 0,
+    "Stimulation": 2,
+    "Tradition": 10,
+    "Universalism: concern": 16,
+    "Universalism: nature": 17,
+    "Universalism: tolerance": 18
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50284
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fd2bcb63738a127099697b147f640d1ec87dc6826a2f9b8d1ccb408dc8120844
+size 2820509468

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    {
+      "content": "<Self-direction: thought>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Self-direction: action>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Stimulation>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Hedonism>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Achievement>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Power: dominance>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Power: resources>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Face>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Security: personal>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Security: societal>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Tradition>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
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+    {
+      "content": "<Conformity: rules>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
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+    {
+      "content": "<Conformity: interpersonal>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Humility>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
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+    {
+      "content": "<Benevolence: caring>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Benevolence: dependability>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Universalism: concern>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Universalism: nature>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<Universalism: tolerance>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "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": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "special": true
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+      "lstrip": false,
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+      "special": true
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+      "normalized": false,
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+      "lstrip": false,
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+    "<Self-direction: thought>",
+    "<Self-direction: action>",
+    "<Stimulation>",
+    "<Hedonism>",
+    "<Achievement>",
+    "<Power: dominance>",
+    "<Power: resources>",
+    "<Face>",
+    "<Security: personal>",
+    "<Security: societal>",
+    "<Tradition>",
+    "<Conformity: rules>",
+    "<Conformity: interpersonal>",
+    "<Humility>",
+    "<Benevolence: caring>",
+    "<Benevolence: dependability>",
+    "<Universalism: concern>",
+    "<Universalism: nature>",
+    "<Universalism: tolerance>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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