End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: deepvk/deberta-v1-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: deepvk_deberta-v1-base__bs32_max_len128_ep10_lr5e-05_lr_sheduler_linear
+  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. -->
+
+# deepvk_deberta-v1-base__bs32_max_len128_ep10_lr5e-05_lr_sheduler_linear
+
+This model is a fine-tuned version of [deepvk/deberta-v1-base](https://huggingface.co/deepvk/deberta-v1-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1221
+- Model Preparation Time: 0.003
+- Accuracy: 0.9631
+- F1: 0.5409
+- Precision: 0.5667
+- Recall: 0.5172
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 28
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|:------:|:---------:|:------:|
+| 0.0992        | 1.0   | 1357 | 0.0963          | 0.003                  | 0.9669   | 0.4686 | 0.7171    | 0.3480 |
+| 0.0886        | 2.0   | 2714 | 0.0884          | 0.003                  | 0.9679   | 0.5236 | 0.6958    | 0.4197 |
+| 0.0817        | 3.0   | 4071 | 0.0888          | 0.003                  | 0.9678   | 0.5447 | 0.6710    | 0.4585 |
+| 0.0725        | 4.0   | 5428 | 0.0927          | 0.003                  | 0.9657   | 0.5345 | 0.6219    | 0.4687 |
+| 0.0619        | 5.0   | 6785 | 0.0978          | 0.003                  | 0.9650   | 0.5390 | 0.6026    | 0.4876 |
+| 0.0502        | 6.0   | 8142 | 0.1075          | 0.003                  | 0.9643   | 0.5391 | 0.5886    | 0.4973 |
+| 0.0407        | 7.0   | 9499 | 0.1221          | 0.003                  | 0.9631   | 0.5409 | 0.5667    | 0.5172 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

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