Acc0.8439450686641697, F10.844443061215289 , Augmented with bert-base-uncased.csv, finetuned on SALT-NLP/FLANG-BERT

README.md

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+---
+base_model: SALT-NLP/FLANG-BERT
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: FLANG-BERT_bert-base-uncased
+  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. -->
+
+# FLANG-BERT_bert-base-uncased
+
+This model is a fine-tuned version of [SALT-NLP/FLANG-BERT](https://huggingface.co/SALT-NLP/FLANG-BERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7138
+- Accuracy: 0.8643
+- F1: 0.8645
+- Precision: 0.8681
+- Recall: 0.8643
+
+## 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: 0.0001
+- 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
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.8614        | 1.0   | 91   | 0.8043          | 0.6443   | 0.6279 | 0.6398    | 0.6443 |
+| 0.5386        | 2.0   | 182  | 0.4807          | 0.8112   | 0.8113 | 0.8150    | 0.8112 |
+| 0.3422        | 3.0   | 273  | 0.4452          | 0.8300   | 0.8304 | 0.8351    | 0.8300 |
+| 0.2617        | 4.0   | 364  | 0.5424          | 0.8190   | 0.8177 | 0.8259    | 0.8190 |
+| 0.164         | 5.0   | 455  | 0.5162          | 0.8424   | 0.8414 | 0.8424    | 0.8424 |
+| 0.1278        | 6.0   | 546  | 0.5737          | 0.8440   | 0.8439 | 0.8440    | 0.8440 |
+| 0.0599        | 7.0   | 637  | 0.6869          | 0.8268   | 0.8236 | 0.8311    | 0.8268 |
+| 0.1184        | 8.0   | 728  | 0.5331          | 0.8471   | 0.8475 | 0.8493    | 0.8471 |
+| 0.1126        | 9.0   | 819  | 0.6979          | 0.8237   | 0.8221 | 0.8332    | 0.8237 |
+| 0.0737        | 10.0  | 910  | 0.7481          | 0.8362   | 0.8362 | 0.8381    | 0.8362 |
+| 0.1425        | 11.0  | 1001 | 0.7602          | 0.8315   | 0.8308 | 0.8331    | 0.8315 |
+| 0.0666        | 12.0  | 1092 | 0.6645          | 0.8612   | 0.8612 | 0.8615    | 0.8612 |
+| 0.0523        | 13.0  | 1183 | 0.7138          | 0.8643   | 0.8645 | 0.8681    | 0.8643 |
+| 0.0168        | 14.0  | 1274 | 0.7317          | 0.8534   | 0.8525 | 0.8527    | 0.8534 |
+| 0.0336        | 15.0  | 1365 | 0.8575          | 0.8456   | 0.8454 | 0.8553    | 0.8456 |
+| 0.0424        | 16.0  | 1456 | 0.9331          | 0.8409   | 0.8386 | 0.8423    | 0.8409 |
+| 0.0188        | 17.0  | 1547 | 0.7885          | 0.8596   | 0.8595 | 0.8599    | 0.8596 |
+| 0.0032        | 18.0  | 1638 | 0.8774          | 0.8596   | 0.8584 | 0.8592    | 0.8596 |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "SALT-NLP/FLANG-BERT",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 437961724

training_args.bin

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