---
license: mit
tags:
- generated_from_trainer
datasets: Isotonic/human_assistant_conversation
metrics:
- accuracy
model-index:
- name: Human_assistant_conversation
  results: []
---

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# test_clm

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on [Isotonic/human_assistant_conversation](https://huggingface.co/datasets/Isotonic/human_assistant_conversation) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9530
- Perplexity: 7.049969668510691

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2