End of training

README.md

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+---
+license: mit
+base_model: bobbyw/deberta-v3-large_v3_mentioned_common_entities
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: deberta-v3-large_faster_learning
+  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. -->
+
+# deberta-v3-large_faster_learning
+
+This model is a fine-tuned version of [bobbyw/deberta-v3-large_v3_mentioned_common_entities](https://huggingface.co/bobbyw/deberta-v3-large_v3_mentioned_common_entities) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0988
+- Accuracy: 0.0218
+- F1: 0.0427
+- Precision: 0.0218
+- Recall: 1.0
+- Learning Rate: 0.0
+
+## 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-07
+- train_batch_size: 3
+- eval_batch_size: 3
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
+| 0.1372        | 1.0   | 689  | 0.0993          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0001 |
+| 0.1339        | 2.0   | 1378 | 0.0988          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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