metadata
library_name: transformers
license: apache-2.0
base_model: training_from_scratch
tags:
- generated_from_trainer
- trainging_from_scratch
datasets:
- Self-GRIT/wikitext-2-raw-v1-preprocessed
metrics:
- accuracy
model-index:
- name: Capybara
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: Self-GRIT/wikitext-2-raw-v1-preprocessed
type: Self-GRIT/wikitext-2-raw-v1-preprocessed
metrics:
- name: Accuracy
type: accuracy
value: 0.21399413489736072
Capybara
This model is training from scratch on the Self-GRIT/wikitext-2-raw-v1-preprocessed dataset. It achieves the following results on the evaluation set:
- Loss: 5.9824
- Accuracy: 0.2140
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: 8
- eval_batch_size: 8
- 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 4.45.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1