Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-v3-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: testhehehe
+  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. -->
+
+# testhehehe
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6675
+- Accuracy: 0.667
+- True Positive: 0.0
+- False Negative: 1.0
+- False Positive: 0.0
+- True Negative: 1.0
+- F1: 0.8002
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | True Positive | False Negative | False Positive | True Negative | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:--------------:|:--------------:|:-------------:|:------:|
+| No log        | 0.4375 | 7    | 0.7175          | 0.333    | 1.0           | 0.0            | 1.0            | 0.0           | 0.0    |
+| No log        | 0.875  | 14   | 0.6894          | 0.679    | 0.0871        | 0.9129         | 0.0255         | 0.9745        | 0.802  |
+| No log        | 1.3125 | 21   | 0.6765          | 0.667    | 0.0           | 1.0            | 0.0            | 1.0           | 0.8002 |
+| No log        | 1.75   | 28   | 0.6675          | 0.667    | 0.0           | 1.0            | 0.0            | 1.0           | 0.8002 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.20.0

model.safetensors

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