---
tags:
- generated_from_trainer
datasets:
- gsm8k
metrics:
- accuracy
model-index:
- name: opt_1_flan_gsm8k
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: gsm8k main
      type: gsm8k
      args: main
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.19469348746188503
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opt_1_flan_gsm8k

This model is a fine-tuned version of [](https://huggingface.co/) on the gsm8k main dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2508
- Accuracy: 0.1947

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0