|
--- |
|
license: mit |
|
base_model: openai-community/gpt2 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- gokuls/wiki_book_corpus_raw_dataset_tiny |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: gpt_train_12_384_new |
|
results: |
|
- task: |
|
name: Causal Language Modeling |
|
type: text-generation |
|
dataset: |
|
name: gokuls/wiki_book_corpus_raw_dataset_tiny |
|
type: gokuls/wiki_book_corpus_raw_dataset_tiny |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.364555259244386 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# gpt_train_12_384_new |
|
|
|
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the gokuls/wiki_book_corpus_raw_dataset_tiny dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.7116 |
|
- Accuracy: 0.3646 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 10 |
|
- distributed_type: multi-GPU |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 100 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.1.0a0+32f93b1 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
