End of training

README.md

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+---
+license: mit
+base_model: microsoft/deberta-v3-large
+tags:
+- generated_from_trainer
+model-index:
+- name: deberta-v3-large-math-ver1
+  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-math-ver1
+
+This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.1289
+- eval_precision: 0.9722
+- eval_recall: 0.9722
+- eval_f1: 0.9722
+- eval_accuracy: 0.9722
+- eval_runtime: 7.4496
+- eval_samples_per_second: 169.136
+- eval_steps_per_second: 14.095
+- epoch: 5.0
+- step: 2100
+
+## 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: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

added_tokens.json

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config.json

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+{
+  "_name_or_path": "microsoft/deberta-v3-large",
+  "architectures": [
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+  ],
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+  "hidden_act": "gelu",
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special_tokens_map.json

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tokenizer_config.json

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