Kritawat/vibe-roberta

README.md

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+---
+license: mit
+base_model: SamLowe/roberta-base-go_emotions
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: bert-finetuned-sem_eval-english
+  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. -->
+
+# bert-finetuned-sem_eval-english
+
+This model is a fine-tuned version of [SamLowe/roberta-base-go_emotions](https://huggingface.co/SamLowe/roberta-base-go_emotions) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1189
+- F1: 0.5833
+- Roc Auc: 0.7555
+- Accuracy: 0.3939
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 29   | 0.1381          | 0.5217 | 0.7178  | 0.3030   |
+| No log        | 2.0   | 58   | 0.1193          | 0.5532 | 0.7367  | 0.3636   |
+| No log        | 3.0   | 87   | 0.1220          | 0.5417 | 0.7355  | 0.3636   |
+| No log        | 4.0   | 116  | 0.1189          | 0.5833 | 0.7555  | 0.3939   |
+| No log        | 5.0   | 145  | 0.1186          | 0.5833 | 0.7555  | 0.3939   |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "SamLowe/roberta-base-go_emotions",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "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": 768,
+  "id2label": {
+    "0": "admiration",
+    "1": "amusement",
+    "2": "anger",
+    "3": "annoyance",
+    "4": "approval",
+    "5": "caring",
+    "6": "confusion",
+    "7": "curiosity",
+    "8": "desire",
+    "9": "disappointment",
+    "10": "disapproval",
+    "11": "disgust",
+    "12": "embarrassment",
+    "13": "excitement",
+    "14": "fear",
+    "15": "gratitude",
+    "16": "grief",
+    "17": "joy",
+    "18": "love",
+    "19": "nervousness",
+    "20": "optimism",
+    "21": "pride",
+    "22": "realization",
+    "23": "relief",
+    "24": "remorse",
+    "25": "sadness",
+    "26": "surprise",
+    "27": "neutrality"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "admiration": 0,
+    "amusement": 1,
+    "anger": 2,
+    "annoyance": 3,
+    "approval": 4,
+    "caring": 5,
+    "confusion": 6,
+    "curiosity": 7,
+    "desire": 8,
+    "disappointment": 9,
+    "disapproval": 10,
+    "disgust": 11,
+    "embarrassment": 12,
+    "excitement": 13,
+    "fear": 14,
+    "gratitude": 15,
+    "grief": 16,
+    "joy": 17,
+    "love": 18,
+    "nervousness": 19,
+    "neutrality": 27,
+    "optimism": 20,
+    "pride": 21,
+    "realization": 22,
+    "relief": 23,
+    "remorse": 24,
+    "sadness": 25,
+    "surprise": 26
+  },
+  "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",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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special_tokens_map.json

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+}

tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
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+  "padding_side": "right",
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+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}

training_args.bin

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