End of training

README.md

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+---
+license: mit
+base_model: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: zero-shot_text_classification_fine_tuned
+  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. -->
+
+# zero-shot_text_classification_fine_tuned
+
+This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6389
+- Accuracy: 0.8145
+- F1: 0.8152
+
+## 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: 16
+- 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: 500
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 375  | 1.1511          | 0.5755   | 0.5607 |
+| 1.4974        | 2.0   | 750  | 0.7869          | 0.7535   | 0.7525 |
+| 0.7908        | 3.0   | 1125 | 0.6635          | 0.8      | 0.8024 |
+| 0.5067        | 4.0   | 1500 | 0.6389          | 0.8145   | 0.8152 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0