metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
base_model: gpt2
model-index:
- name: finetuning-sentiment-model-tweet-gpt2
results: []
finetuning-sentiment-model-tweet-gpt2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3646
- Accuracy: 0.6908
- F1: 0.6908
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
Framework versions
- Transformers 4.23.1
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1