End of training

README.md

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+---
+library_name: transformers
+base_model: KasuleTrevor/all-MiniLM-L12-v2-rny-intents
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: all_mini_lm_text_classifier_nyn
+  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_nyn
+
+This model is a fine-tuned version of [KasuleTrevor/all-MiniLM-L12-v2-rny-intents](https://huggingface.co/KasuleTrevor/all-MiniLM-L12-v2-rny-intents) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3562
+- Accuracy: 0.943
+- Precision: 0.945
+- Recall: 0.943
+- F1: 0.942
+
+## 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    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
+| 2.5968        | 1.0   | 293  | 1.7473          | 0.633    | 0.535     | 0.633  | 0.555 |
+| 1.2106        | 2.0   | 586  | 0.6798          | 0.828    | 0.82      | 0.828  | 0.804 |
+| 0.5287        | 3.0   | 879  | 0.4751          | 0.896    | 0.894     | 0.896  | 0.891 |
+| 0.3188        | 4.0   | 1172 | 0.3477          | 0.904    | 0.916     | 0.904  | 0.901 |
+| 0.2335        | 5.0   | 1465 | 0.2991          | 0.936    | 0.94      | 0.936  | 0.936 |
+| 0.1855        | 6.0   | 1758 | 0.3184          | 0.932    | 0.937     | 0.932  | 0.932 |
+| 0.1609        | 7.0   | 2051 | 0.3253          | 0.934    | 0.939     | 0.934  | 0.933 |
+| 0.1398        | 8.0   | 2344 | 0.2569          | 0.949    | 0.952     | 0.949  | 0.949 |
+| 0.1151        | 9.0   | 2637 | 0.3135          | 0.943    | 0.946     | 0.943  | 0.943 |
+| 0.0997        | 10.0  | 2930 | 0.3000          | 0.951    | 0.953     | 0.951  | 0.951 |
+| 0.0866        | 11.0  | 3223 | 0.3140          | 0.945    | 0.948     | 0.945  | 0.945 |
+| 0.0615        | 12.0  | 3516 | 0.3165          | 0.945    | 0.948     | 0.945  | 0.945 |
+| 0.0574        | 13.0  | 3809 | 0.3870          | 0.934    | 0.94      | 0.934  | 0.935 |
+| 0.0459        | 14.0  | 4102 | 0.3428          | 0.947    | 0.951     | 0.947  | 0.947 |
+| 0.0423        | 15.0  | 4395 | 0.3565          | 0.945    | 0.948     | 0.945  | 0.945 |
+| 0.0412        | 16.0  | 4688 | 0.3655          | 0.945    | 0.948     | 0.945  | 0.945 |
+| 0.0343        | 17.0  | 4981 | 0.3528          | 0.947    | 0.95      | 0.947  | 0.947 |
+| 0.0289        | 18.0  | 5274 | 0.3567          | 0.943    | 0.945     | 0.943  | 0.942 |
+| 0.0297        | 19.0  | 5567 | 0.3565          | 0.943    | 0.945     | 0.943  | 0.942 |
+| 0.0286        | 20.0  | 5860 | 0.3562          | 0.943    | 0.945     | 0.943  | 0.942 |
+
+
+### 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 133494096

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
+    },
+    "102": {
+      "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_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]"
+}