End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: distilbert-training-2
+  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. -->
+
+# distilbert-training-2
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0164
+- Accuracy: 0.9976
+- Precision: 0.9982
+- Recall: 0.9929
+- F1: 0.9956
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 0.5   | 302  | 0.0849          | 0.9836   | 1.0       | 0.9398 | 0.9690 |
+| No log        | 1.0   | 604  | 0.0525          | 0.9894   | 0.9755    | 0.9858 | 0.9806 |
+| 0.0957        | 1.5   | 906  | 0.0184          | 0.9971   | 0.9982    | 0.9912 | 0.9947 |
+| 0.0957        | 2.0   | 1208 | 0.0438          | 0.9923   | 0.9982    | 0.9735 | 0.9857 |
+| 0.0265        | 2.5   | 1510 | 0.0246          | 0.9966   | 0.9982    | 0.9894 | 0.9938 |
+| 0.0265        | 3.0   | 1812 | 0.0170          | 0.9971   | 0.9982    | 0.9912 | 0.9947 |
+| 0.0116        | 3.49  | 2114 | 0.0184          | 0.9971   | 1.0       | 0.9894 | 0.9947 |
+| 0.0116        | 3.99  | 2416 | 0.0259          | 0.9961   | 1.0       | 0.9858 | 0.9929 |
+| 0.0064        | 4.49  | 2718 | 0.0156          | 0.9976   | 0.9982    | 0.9929 | 0.9956 |
+| 0.0064        | 4.99  | 3020 | 0.0164          | 0.9976   | 0.9982    | 0.9929 | 0.9956 |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.2.0.dev20230913+cu121
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.1",
+  "vocab_size": 30522
+}

pytorch_model.bin

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training_args.bin

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