End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: distil_bert_own_txt_clf_model
+  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. -->
+
+# distil_bert_own_txt_clf_model
+
+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: 1.0454
+- Accuracy: 0.8167
+- F1: 0.8125
+- Precision: 0.8152
+- Recall: 0.8127
+
+## 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-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.3554        | 3.33  | 50   | 1.1341          | 0.5333   | 0.3913 | 0.5676    | 0.4930 |
+| 1.0538        | 6.67  | 100  | 1.1938          | 0.5833   | 0.5168 | 0.5381    | 0.5736 |
+| 0.3226        | 10.0  | 150  | 1.1243          | 0.6833   | 0.6412 | 0.7731    | 0.6614 |
+| 0.0674        | 13.33 | 200  | 0.8542          | 0.8417   | 0.8317 | 0.8442    | 0.8405 |
+| 0.0022        | 16.67 | 250  | 0.7832          | 0.8333   | 0.8252 | 0.8323    | 0.8277 |
+| 0.001         | 20.0  | 300  | 0.8204          | 0.8333   | 0.8265 | 0.8312    | 0.8307 |
+| 0.0005        | 23.33 | 350  | 0.8259          | 0.8583   | 0.8537 | 0.8534    | 0.8589 |
+| 0.0005        | 26.67 | 400  | 0.8121          | 0.825    | 0.8165 | 0.8230    | 0.8134 |
+| 0.0004        | 30.0  | 450  | 0.8673          | 0.8583   | 0.8537 | 0.8534    | 0.8589 |
+| 0.0003        | 33.33 | 500  | 0.8052          | 0.8583   | 0.8543 | 0.8561    | 0.8538 |
+| 0.0003        | 36.67 | 550  | 0.8324          | 0.8417   | 0.8363 | 0.8392    | 0.8372 |
+| 0.0003        | 40.0  | 600  | 0.8536          | 0.85     | 0.8445 | 0.8450    | 0.8480 |
+| 0.0003        | 43.33 | 650  | 0.8632          | 0.85     | 0.8445 | 0.8450    | 0.8480 |
+| 0.0003        | 46.67 | 700  | 0.8690          | 0.85     | 0.8445 | 0.8450    | 0.8480 |
+| 0.0003        | 50.0  | 750  | 0.8715          | 0.85     | 0.8445 | 0.8450    | 0.8480 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dim": 3072,
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "View_class",
+    "1": "Del_class",
+    "2": "Edit_class",
+    "3": "Add_class"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Add_class": 3,
+    "Del_class": 1,
+    "Edit_class": 2,
+    "View_class": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "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": "4.38.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 437964800

training_args.bin

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