End of training

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: text_to_subfunction_v7
+  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. -->
+
+# text_to_subfunction_v7
+
+This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9393
+- F1: 0.4657
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 3.0953        | 1.0   | 4995  | 2.9647          | 0.1986 |
+| 2.2212        | 2.0   | 9990  | 2.3916          | 0.3411 |
+| 1.7716        | 3.0   | 14985 | 2.1448          | 0.3938 |
+| 1.4083        | 4.0   | 19980 | 2.0778          | 0.4358 |
+| 1.1092        | 5.0   | 24975 | 2.0726          | 0.4608 |
+| 0.8501        | 6.0   | 29970 | 2.1499          | 0.4652 |
+| 0.5973        | 7.0   | 34965 | 2.2423          | 0.4586 |
+| 0.4056        | 8.0   | 39960 | 2.3822          | 0.4605 |
+| 0.3375        | 9.0   | 44955 | 2.5109          | 0.4564 |
+| 0.2773        | 10.0  | 49950 | 2.6337          | 0.4590 |
+| 0.2134        | 11.0  | 54945 | 2.7191          | 0.4698 |
+| 0.1712        | 12.0  | 59940 | 2.8171          | 0.4634 |
+| 0.1061        | 13.0  | 64935 | 2.8741          | 0.4687 |
+| 0.1533        | 14.0  | 69930 | 2.9266          | 0.4665 |
+| 0.0837        | 15.0  | 74925 | 2.9393          | 0.4657 |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 2.1.0.dev20230414+cu117
+- Datasets 2.9.0
+- Tokenizers 0.13.3

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special_tokens_map.json

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+  "unk_token": "[UNK]"
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tokenizer_config.json

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+  "do_lower_case": false,
+  "mask_token": "[MASK]",
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+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}