End of training

.gitattributes

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+model.safetensors filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: schedulebot-nlu-engine
+  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. -->
+
+# schedulebot-nlu-engine
+
+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: 0.4952
+- Intent Accuracy: 0.8767
+- Intent F1: 0.8762
+- Ner F1: 0.9222
+
+## 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: 1e-06
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Intent Accuracy | Intent F1 | Ner F1 |
+|:-------------:|:-----:|:----:|:---------------:|:---------------:|:---------:|:------:|
+| 0.9887        | 1.0   | 64   | 0.7098          | 0.8219          | 0.8214    | 0.9200 |
+| 1.0663        | 2.0   | 128  | 0.6923          | 0.8196          | 0.8187    | 0.9200 |
+| 0.9498        | 3.0   | 192  | 0.6631          | 0.8288          | 0.8267    | 0.9188 |
+| 0.8652        | 4.0   | 256  | 0.6372          | 0.8447          | 0.8432    | 0.9199 |
+| 0.8757        | 5.0   | 320  | 0.6231          | 0.8311          | 0.8312    | 0.9211 |
+| 0.8406        | 6.0   | 384  | 0.5914          | 0.8562          | 0.8559    | 0.9194 |
+| 0.8455        | 7.0   | 448  | 0.5781          | 0.8562          | 0.8551    | 0.9216 |
+| 0.7884        | 8.0   | 512  | 0.5670          | 0.8630          | 0.8619    | 0.9229 |
+| 0.8384        | 9.0   | 576  | 0.5606          | 0.8607          | 0.8604    | 0.9210 |
+| 0.7189        | 10.0  | 640  | 0.5468          | 0.8539          | 0.8530    | 0.9246 |
+| 0.7834        | 11.0  | 704  | 0.5350          | 0.8767          | 0.8765    | 0.9221 |
+| 0.774         | 12.0  | 768  | 0.5231          | 0.8699          | 0.8691    | 0.9222 |
+| 0.7204        | 13.0  | 832  | 0.5185          | 0.8767          | 0.8764    | 0.9216 |
+| 0.7161        | 14.0  | 896  | 0.5131          | 0.8790          | 0.8787    | 0.9216 |
+| 0.7283        | 15.0  | 960  | 0.5094          | 0.8721          | 0.8719    | 0.9205 |
+| 0.8251        | 16.0  | 1024 | 0.5029          | 0.8744          | 0.8739    | 0.9222 |
+| 0.6644        | 17.0  | 1088 | 0.4997          | 0.8790          | 0.8786    | 0.9228 |
+| 0.7437        | 18.0  | 1152 | 0.4966          | 0.8767          | 0.8762    | 0.9228 |
+| 0.6905        | 19.0  | 1216 | 0.4952          | 0.8767          | 0.8762    | 0.9222 |
+| 0.6605        | 20.0  | 1280 | 0.4952          | 0.8767          | 0.8762    | 0.9222 |
+
+
+### Framework versions
+
+- Transformers 4.53.1
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.2

config.json

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+{
+  "activation": "gelu",
+  "architectures": [
+    "MultitaskModel"
+  ],
+  "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,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.1",
+  "vocab_size": 30522
+}

model.safetensors

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+size 267851552

special_tokens_map.json

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

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}