End of training

README.md

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+---
+library_name: transformers
+base_model: KasuleTrevor/all-MiniLM-L6-v2_intents
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: all_mini_lm_text_classifier_330h
+  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. -->
+
+# all_mini_lm_text_classifier_330h
+
+This model is a fine-tuned version of [KasuleTrevor/all-MiniLM-L6-v2_intents](https://huggingface.co/KasuleTrevor/all-MiniLM-L6-v2_intents) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2633
+- Accuracy: 0.943
+- Precision: 0.946
+- Recall: 0.943
+- F1: 0.943
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- 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: cosine
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
+| 2.7003        | 1.0   | 263  | 1.8368          | 0.642    | 0.633     | 0.642  | 0.582 |
+| 1.3435        | 2.0   | 526  | 0.6806          | 0.8      | 0.848     | 0.8    | 0.754 |
+| 0.5577        | 3.0   | 789  | 0.2745          | 0.94     | 0.928     | 0.94   | 0.931 |
+| 0.2935        | 4.0   | 1052 | 0.2084          | 0.944    | 0.932     | 0.944  | 0.936 |
+| 0.2122        | 5.0   | 1315 | 0.1717          | 0.97     | 0.971     | 0.97   | 0.97  |
+| 0.1596        | 6.0   | 1578 | 0.1608          | 0.967    | 0.968     | 0.967  | 0.967 |
+| 0.1394        | 7.0   | 1841 | 0.1911          | 0.967    | 0.968     | 0.967  | 0.967 |
+| 0.107         | 8.0   | 2104 | 0.1624          | 0.968    | 0.969     | 0.968  | 0.968 |
+| 0.0952        | 9.0   | 2367 | 0.1836          | 0.965    | 0.966     | 0.965  | 0.965 |
+| 0.08          | 10.0  | 2630 | 0.1889          | 0.965    | 0.967     | 0.965  | 0.965 |
+| 0.0724        | 11.0  | 2893 | 0.2068          | 0.955    | 0.957     | 0.955  | 0.955 |
+| 0.0643        | 12.0  | 3156 | 0.2027          | 0.961    | 0.962     | 0.961  | 0.961 |
+| 0.0553        | 13.0  | 3419 | 0.2172          | 0.961    | 0.962     | 0.961  | 0.961 |
+| 0.0474        | 14.0  | 3682 | 0.2170          | 0.961    | 0.962     | 0.961  | 0.961 |
+| 0.038         | 15.0  | 3945 | 0.2225          | 0.959    | 0.961     | 0.959  | 0.959 |
+| 0.0303        | 16.0  | 4208 | 0.2427          | 0.95     | 0.952     | 0.95   | 0.95  |
+| 0.0254        | 17.0  | 4471 | 0.2529          | 0.946    | 0.948     | 0.946  | 0.946 |
+| 0.0228        | 18.0  | 4734 | 0.2571          | 0.946    | 0.949     | 0.946  | 0.946 |
+| 0.02          | 19.0  | 4997 | 0.2627          | 0.943    | 0.946     | 0.943  | 0.943 |
+| 0.019         | 20.0  | 5260 | 0.2633          | 0.943    | 0.946     | 0.943  | 0.943 |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

model.safetensors

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 size 90895680

special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "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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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "max_length": 128,
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}