Training completed!

README.md

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+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: UIT-roberta-base-finetuned
+  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. -->
+
+# UIT-roberta-base-finetuned
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7848
+- F1: 0.7326
+- Roc Auc: 0.7985
+- Accuracy: 0.4747
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.0567        | 1.0   | 139  | 0.5027          | 0.7275 | 0.7920  | 0.4495   |
+| 0.043         | 2.0   | 278  | 0.6029          | 0.6848 | 0.7535  | 0.4314   |
+| 0.0259        | 3.0   | 417  | 0.6046          | 0.7209 | 0.7929  | 0.4513   |
+| 0.0466        | 4.0   | 556  | 0.6514          | 0.7015 | 0.7735  | 0.4458   |
+| 0.0292        | 5.0   | 695  | 0.7177          | 0.7052 | 0.7667  | 0.4495   |
+| 0.0123        | 6.0   | 834  | 0.7267          | 0.7070 | 0.7806  | 0.4513   |
+| 0.0165        | 7.0   | 973  | 0.7384          | 0.7004 | 0.7719  | 0.4386   |
+| 0.0082        | 8.0   | 1112 | 0.7504          | 0.7150 | 0.7857  | 0.4531   |
+| 0.0101        | 9.0   | 1251 | 0.7449          | 0.7263 | 0.7968  | 0.4657   |
+| 0.0153        | 10.0  | 1390 | 0.8303          | 0.6913 | 0.7678  | 0.4332   |
+| 0.0199        | 11.0  | 1529 | 0.7961          | 0.7076 | 0.7849  | 0.4458   |
+| 0.0157        | 12.0  | 1668 | 0.7848          | 0.7326 | 0.7985  | 0.4747   |
+| 0.0031        | 13.0  | 1807 | 0.8443          | 0.7158 | 0.7832  | 0.4585   |
+| 0.0013        | 14.0  | 1946 | 0.8282          | 0.7244 | 0.7898  | 0.4639   |
+| 0.0015        | 15.0  | 2085 | 0.8554          | 0.7187 | 0.7858  | 0.4747   |
+| 0.0015        | 16.0  | 2224 | 0.8796          | 0.7225 | 0.7868  | 0.4639   |
+| 0.0039        | 17.0  | 2363 | 0.9017          | 0.7181 | 0.7837  | 0.4531   |
+| 0.003         | 18.0  | 2502 | 0.8980          | 0.7057 | 0.7744  | 0.4458   |
+| 0.0009        | 19.0  | 2641 | 0.8888          | 0.7244 | 0.7874  | 0.4621   |
+| 0.0008        | 20.0  | 2780 | 0.9001          | 0.7181 | 0.7838  | 0.4639   |
+| 0.0008        | 21.0  | 2919 | 0.8955          | 0.7234 | 0.7883  | 0.4567   |
+| 0.0008        | 22.0  | 3058 | 0.9071          | 0.7180 | 0.7827  | 0.4531   |
+| 0.0008        | 23.0  | 3197 | 0.9219          | 0.7193 | 0.7823  | 0.4657   |
+| 0.0006        | 24.0  | 3336 | 0.9195          | 0.7193 | 0.7824  | 0.4621   |
+| 0.0013        | 25.0  | 3475 | 0.8951          | 0.7208 | 0.7882  | 0.4711   |
+| 0.0007        | 26.0  | 3614 | 0.9148          | 0.7226 | 0.7859  | 0.4801   |
+| 0.0007        | 27.0  | 3753 | 0.9118          | 0.7236 | 0.7867  | 0.4765   |
+| 0.0007        | 28.0  | 3892 | 0.9108          | 0.7240 | 0.7874  | 0.4783   |
+| 0.0007        | 29.0  | 4031 | 0.9122          | 0.7232 | 0.7868  | 0.4747   |
+| 0.0006        | 30.0  | 4170 | 0.9124          | 0.7224 | 0.7862  | 0.4729   |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "FacebookAI/roberta-base",
+  "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": "anger",
+    "1": "fear",
+    "2": "joy",
+    "3": "sadness",
+    "4": "surprise"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "anger": 0,
+    "fear": 1,
+    "joy": 2,
+    "sadness": 3,
+    "surprise": 4
+  },
+  "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": "4.48.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+size 498622052

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": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "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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+size 5304