finetuned on balanced data

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: FPB_finetuned_v1
+  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. -->
+
+# FPB_finetuned_v1
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4649
+- Accuracy: 0.9303
+- F1: 0.9303
+- Precision: 0.9303
+- Recall: 0.9303
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.7905        | 1.0   | 97   | 0.6913          | 0.7504   | 0.7471 | 0.7458    | 0.7504 |
+| 0.3516        | 2.0   | 194  | 0.3914          | 0.8476   | 0.8480 | 0.8517    | 0.8476 |
+| 0.2545        | 3.0   | 291  | 0.3302          | 0.8882   | 0.8870 | 0.8911    | 0.8882 |
+| 0.1225        | 4.0   | 388  | 0.3488          | 0.8723   | 0.8730 | 0.8801    | 0.8723 |
+| 0.0674        | 5.0   | 485  | 0.3910          | 0.8970   | 0.8961 | 0.8963    | 0.8970 |
+| 0.0458        | 6.0   | 582  | 0.4545          | 0.9028   | 0.9022 | 0.9036    | 0.9028 |
+| 0.0963        | 7.0   | 679  | 0.3467          | 0.9100   | 0.9100 | 0.9104    | 0.9100 |
+| 0.0781        | 8.0   | 776  | 0.4528          | 0.8999   | 0.8991 | 0.8996    | 0.8999 |
+| 0.0961        | 9.0   | 873  | 0.3966          | 0.9042   | 0.9049 | 0.9091    | 0.9042 |
+| 0.0643        | 10.0  | 970  | 0.3486          | 0.9158   | 0.9159 | 0.9160    | 0.9158 |
+| 0.0521        | 11.0  | 1067 | 0.5745          | 0.8955   | 0.8931 | 0.9030    | 0.8955 |
+| 0.0162        | 12.0  | 1164 | 0.4968          | 0.9042   | 0.9047 | 0.9070    | 0.9042 |
+| 0.0106        | 13.0  | 1261 | 0.4925          | 0.9158   | 0.9161 | 0.9171    | 0.9158 |
+| 0.0056        | 14.0  | 1358 | 0.5128          | 0.9129   | 0.9126 | 0.9149    | 0.9129 |
+| 0.0116        | 15.0  | 1455 | 0.4791          | 0.9202   | 0.9199 | 0.9197    | 0.9202 |
+| 0.0004        | 16.0  | 1552 | 0.4417          | 0.9216   | 0.9214 | 0.9218    | 0.9216 |
+| 0.0121        | 17.0  | 1649 | 0.4378          | 0.9202   | 0.9199 | 0.9205    | 0.9202 |
+| 0.0003        | 18.0  | 1746 | 0.4624          | 0.9245   | 0.9245 | 0.9247    | 0.9245 |
+| 0.0001        | 19.0  | 1843 | 0.4697          | 0.9274   | 0.9275 | 0.9277    | 0.9274 |
+| 0.0001        | 20.0  | 1940 | 0.4649          | 0.9303   | 0.9303 | 0.9303    | 0.9303 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "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": "4.37.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:8686aaa98147a23b6726c039b87d22ac5104f4ae6978de8977060474de84a6d5
+size 437961724

training_args.bin

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