End of training

README.md

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+---
+license: mit
+base_model: vinai/bertweet-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- precision
+- recall
+- accuracy
+model-index:
+- name: bertweet-base_ordinal_5_seed42_EN
+  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. -->
+
+# bertweet-base_ordinal_5_seed42_EN
+
+This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3762
+- Mse: 2.9969
+- Rmse: 1.7311
+- Mae: 0.9259
+- R2: 0.1490
+- F1: 0.7832
+- Precision: 0.7840
+- Recall: 0.7860
+- Accuracy: 0.7860
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Mse    | Rmse   | Mae    | R2      | F1     | Precision | Recall | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:-------:|:------:|:---------:|:------:|:--------:|
+| 3.5232        | 0.4630 | 100  | 3.4011          | 3.4987 | 1.8705 | 1.7180 | -0.0102 | 0.4570 | 0.3669    | 0.6057 | 0.6057   |
+| 3.2579        | 0.9259 | 200  | 3.1630          | 3.3081 | 1.8188 | 1.6110 | 0.0448  | 0.4570 | 0.3669    | 0.6057 | 0.6057   |
+| 2.9868        | 1.3889 | 300  | 2.9383          | 3.4125 | 1.8473 | 1.3916 | 0.0146  | 0.4570 | 0.3669    | 0.6057 | 0.6057   |
+| 2.7421        | 1.8519 | 400  | 2.7612          | 3.0757 | 1.7538 | 1.2167 | 0.1119  | 0.6594 | 0.7657    | 0.7076 | 0.7076   |
+| 2.4831        | 2.3148 | 500  | 2.5697          | 2.7520 | 1.6589 | 1.1070 | 0.2054  | 0.7538 | 0.7580    | 0.7598 | 0.7598   |
+| 2.3685        | 2.7778 | 600  | 2.5183          | 2.9478 | 1.7169 | 1.0888 | 0.1488  | 0.7405 | 0.7549    | 0.7520 | 0.7520   |
+| 2.2204        | 3.2407 | 700  | 2.4655          | 2.9530 | 1.7184 | 0.9739 | 0.1473  | 0.7501 | 0.7776    | 0.7650 | 0.7650   |
+| 2.0367        | 3.7037 | 800  | 2.4423          | 3.1462 | 1.7738 | 0.9843 | 0.0915  | 0.7546 | 0.7546    | 0.7546 | 0.7546   |
+| 2.0266        | 4.1667 | 900  | 2.3620          | 2.9452 | 1.7161 | 0.9608 | 0.1496  | 0.7656 | 0.7653    | 0.7676 | 0.7676   |
+| 1.8431        | 4.6296 | 1000 | 2.3728          | 3.0157 | 1.7366 | 0.9373 | 0.1292  | 0.7680 | 0.7679    | 0.7702 | 0.7702   |
+| 1.8448        | 5.0926 | 1100 | 2.3544          | 2.8903 | 1.7001 | 0.9164 | 0.1654  | 0.7754 | 0.7759    | 0.7781 | 0.7781   |
+| 1.7661        | 5.5556 | 1200 | 2.4342          | 3.0026 | 1.7328 | 0.9138 | 0.1330  | 0.7799 | 0.7794    | 0.7807 | 0.7807   |
+| 1.6105        | 6.0185 | 1300 | 2.4327          | 3.1227 | 1.7671 | 0.9347 | 0.0983  | 0.7691 | 0.7686    | 0.7702 | 0.7702   |
+| 1.5606        | 6.4815 | 1400 | 2.4423          | 3.0966 | 1.7597 | 0.9347 | 0.1059  | 0.7732 | 0.7737    | 0.7728 | 0.7728   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "vinai/bertweet-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 130,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tokenizer_class": "BertweetTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64001
+}

model.safetensors

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+size 539639396

training_args.bin

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