End of training

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: spanemo-id-ta
+  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. -->
+
+# spanemo-id-ta
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.19.1.dev0
+- Tokenizers 0.19.1

added_tokens.json

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+{
+  "Antisipasi": 31929,
+  "Bahagia": 31926,
+  "Jijik": 31928,
+  "Marah": 31930,
+  "Percaya": 31923,
+  "Sedih": 31925,
+  "Takut": 31927,
+  "Terkejut": 31924
+}

config.json

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+{
+  "architectures": [
+    "SpanEmo"
+  ],
+  "embedding_vocab_size": 31931,
+  "id2label": {
+    "0": "Percaya",
+    "1": "Terkejut",
+    "2": "Sedih",
+    "3": "Bahagia",
+    "4": "Takut",
+    "5": "Jijik",
+    "6": "Antisipasi",
+    "7": "Marah"
+  },
+  "inter_loss_factor": 0,
+  "label2id": {
+    "Antisipasi": 6,
+    "Bahagia": 3,
+    "Jijik": 5,
+    "Marah": 7,
+    "Percaya": 0,
+    "Sedih": 2,
+    "Takut": 4,
+    "Terkejut": 1
+  },
+  "label_idxs": [
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8
+  ],
+  "model_type": "spanemo",
+  "output_dropout": 0.1,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0.dev0",
+  "zlpr_loss_factor": 0
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e90116d600bcbdb5e23a47ea83b61bedec86677ef439440d1935eb98884d2639
+size 444647172

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
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "31923": {
+      "content": "Percaya",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "31924": {
+      "content": "Terkejut",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "31925": {
+      "content": "Sedih",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "31926": {
+      "content": "Bahagia",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "31927": {
+      "content": "Takut",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "31928": {
+      "content": "Jijik",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "31929": {
+      "content": "Antisipasi",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "31930": {
+      "content": "Marah",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "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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+version https://git-lfs.github.com/spec/v1
+oid sha256:e9dff8c6408140dba6a2479f645e93269918bd1f4cf616996f863cffdad318bf
+size 5048