End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-jul4
+  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-base-jul4
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4076
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5366        | 1.0   | 2161  | 0.3331          |
+| 0.233         | 2.0   | 4322  | 0.2973          |
+| 0.2538        | 3.0   | 6483  | 0.3052          |
+| 0.1026        | 4.0   | 8644  | 0.3407          |
+| 0.3053        | 5.0   | 10805 | 0.3259          |
+| 0.1347        | 6.0   | 12966 | 0.3799          |
+| 0.1464        | 7.0   | 15127 | 0.3561          |
+| 0.0001        | 8.0   | 17288 | 0.3638          |
+| 0.0002        | 9.0   | 19449 | 0.3972          |
+| 0.0           | 10.0  | 21610 | 0.4076          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "distilbert/distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "Cold outreach/Introduction emails",
+    "1": "Value Proposition Emails",
+    "2": "Appointment request emails",
+    "3": "Appointment Reminder Emails",
+    "4": "Follow up emails",
+    "5": "Upselling emails",
+    "6": "Cross-Selling emails",
+    "7": "Abandoned cart emails",
+    "8": "Quotation Emails",
+    "9": "Sales Order Emails",
+    "10": "Order Confirmation Emails",
+    "11": "Invoice Email",
+    "12": "Offer/Promotion Emails",
+    "13": "Renewal Reminder Emails",
+    "14": "Feedback/Survey Emails",
+    "15": "Event Invitation Emails",
+    "16": "Contract/Agreement Emails",
+    "17": "Product Recall or Issue Notification Emails",
+    "18": "Competitor Comparison Emails",
+    "19": "Warranty Information Emails",
+    "20": "Onboarding Emails",
+    "21": "Inquiry Emails",
+    "22": "Request for Quotation",
+    "23": "Support request emails",
+    "24": "Order Placement Emails",
+    "25": "Order modification emails.",
+    "26": "Order cancellation emails.",
+    "27": "Exchange/Return request emails.",
+    "28": "Refund request",
+    "29": "Purchase Order Emails",
+    "30": "Appointment scheduling",
+    "31": "Appointment postpone",
+    "32": "Referral emails",
+    "33": "Product upgrade emails",
+    "34": "Warranty claim emails",
+    "35": "Service renewal emails",
+    "36": "Complaint or Issue Reporting Emails",
+    "37": "Feedback Emails",
+    "38": "Request for Meeting or Demo",
+    "39": "Price Negotiation Emails",
+    "40": "Delivery Date Negotiation Emails"
+  },
+  "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": "4.41.2",
+  "vocab_size": 30522
+}

logs/events.out.tfevents.1720160579.a5286c7627ae.7469.0

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model.safetensors

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+  "added_tokens_decoder": {
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+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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