update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: edos-2023-baseline-microsoft-deberta-v3-base-label_vector
+  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. -->
+
+# edos-2023-baseline-microsoft-deberta-v3-base-label_vector
+
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8266
+- F1: 0.4620
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.1548        | 1.18  | 100  | 1.9373          | 0.1031 |
+| 1.8405        | 2.35  | 200  | 1.6535          | 0.1315 |
+| 1.6221        | 3.53  | 300  | 1.4279          | 0.2601 |
+| 1.4091        | 4.71  | 400  | 1.2069          | 0.3527 |
+| 1.2815        | 5.88  | 500  | 1.0597          | 0.3904 |
+| 1.1345        | 7.06  | 600  | 0.9616          | 0.4186 |
+| 1.0509        | 8.24  | 700  | 0.8848          | 0.4423 |
+| 0.9696        | 9.41  | 800  | 0.8266          | 0.4620 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2