---
tags:
- generated_from_trainer
datasets:
- hyperdemocracy/usc-llm-text
metrics:
- accuracy
model-index:
- name: usclm-phi-mk1
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: hyperdemocracy/usc-llm-text
      type: hyperdemocracy/usc-llm-text
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.5483453834880313
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# usclm-phi-mk1

This model is a fine-tuned version of [](https://huggingface.co/) on the hyperdemocracy/usc-llm-text dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4198
- Accuracy: 0.5483

## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2