metadata
base_model: t2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: t2
results: []
t2
This model is a fine-tuned version of t2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4588
- Accuracy: 0.5827
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0