metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Human_assistant_conversation
results: []
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