End of training

README.md

@@ -0,0 +1,72 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: training-7
+  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. -->
+
+# training-7
+
+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: 0.0602
+- Accuracy: 0.9878
+- Precision: 0.9909
+- Recall: 0.9842
+- F1: 0.9875
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 0.5   | 131  | 0.0592          | 0.9856   | 0.9954    | 0.9752 | 0.9852 |
+| No log        | 1.0   | 262  | 0.0695          | 0.9789   | 0.9977    | 0.9594 | 0.9781 |
+| 0.1477        | 1.49  | 393  | 0.0648          | 0.9822   | 0.9977    | 0.9661 | 0.9817 |
+| 0.1477        | 1.99  | 524  | 0.0657          | 0.9833   | 0.9954    | 0.9707 | 0.9829 |
+| 0.0555        | 2.49  | 655  | 0.0611          | 0.9856   | 0.9954    | 0.9752 | 0.9852 |
+| 0.0555        | 2.99  | 786  | 0.0599          | 0.9889   | 0.9932    | 0.9842 | 0.9887 |
+| 0.0243        | 3.49  | 917  | 0.0574          | 0.9878   | 0.9909    | 0.9842 | 0.9875 |
+| 0.0243        | 3.98  | 1048 | 0.0602          | 0.9878   | 0.9909    | 0.9842 | 0.9875 |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.2.0.dev20230913+cu121
+- Tokenizers 0.13.3

config.json

@@ -0,0 +1,27 @@
+{
+  "_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,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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": "4.33.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f7d2f4fc77bda42387e4c4bea276c1e8eb3cb5e283b10ac6ffd49e1082b9eaa
+size 438003950

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:197748b829a7b03260f400f5b62fe0bd16da44b3a04f98c84aa83b128c2a35e5
+size 4472