End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/flan-t5-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: flan-t5-small-classifier
+  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. -->
+
+# flan-t5-small-classifier
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3960
+- Accuracy: 0.8372
+- F1: 0.6246
+
+## 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: 2e-05
+- 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: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0      | 0    | 0.8605          | 0.2622   | 0.3991 |
+| No log        | 0.2020 | 79   | 0.5689          | 0.7262   | 0.0    |
+| No log        | 0.4041 | 158  | 0.5251          | 0.7464   | 0.0    |
+| No log        | 0.6061 | 237  | 0.4921          | 0.7565   | 0.0765 |
+| No log        | 0.8082 | 316  | 0.4664          | 0.7752   | 0.2427 |
+| No log        | 1.0102 | 395  | 0.4418          | 0.8012   | 0.4344 |
+| No log        | 1.2123 | 474  | 0.4187          | 0.8199   | 0.5283 |
+| 0.5394        | 1.4143 | 553  | 0.4065          | 0.8242   | 0.5643 |
+| 0.5394        | 1.6164 | 632  | 0.4005          | 0.8372   | 0.6221 |
+| 0.5394        | 1.8184 | 711  | 0.3960          | 0.8372   | 0.6246 |
+
+
+### Framework versions
+
+- Transformers 4.53.3
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.2

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