metadata

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 on 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