Model save

README.md

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+---
+license: apache-2.0
+base_model: meta-math/MetaMath-Mistral-7B
+tags:
+- generated_from_trainer
+model-index:
+- name: math-mistral-7b-r32-e2
+  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. -->
+
+# math-mistral-7b-r32-e2
+
+This model is a fine-tuned version of [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4721
+
+## 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: 4e-06
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2585        | 0.26  | 1000 | 0.4719          |
+| 0.3487        | 0.52  | 2000 | 0.4713          |
+| 0.4357        | 0.78  | 3000 | 0.4721          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.11.0
+- Tokenizers 0.14.1

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