metadata
tags:
- generated_from_trainer
datasets:
- MBZUAI/Bactrian-X
metrics:
- accuracy
model-index:
- name: MicroPhi-Indo
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: MBZUAI/Bactrian-X id
type: MBZUAI/Bactrian-X
args: id
metrics:
- name: Accuracy
type: accuracy
value: 0.23619257086999024
MicroPhi-Indo
This model was trained from scratch on the MBZUAI/Bactrian-X id dataset. It achieves the following results on the evaluation set:
- Loss: 5.3697
- Accuracy: 0.2362
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1