metadata
library_name: transformers
base_model: SubhrajitSain/anwgpt2-345m
tags:
- gpt2
- gpt2-medium
model-index:
- name: anwgpt2-345m
results: []
license: mit
datasets:
- Elriggs/openwebtext-100k
language:
- en
pipeline_tag: text-generation
anwgpt2-355m
My second attempt at a LLM.
Model Details
- Model Type: GPT-2
- Model Size: 354,823,168 parameters
- Base Model:
gpt2-medium - Dataset: Elriggs/openwebtext-100k
- Training Framework: Hugging Face Transformers
Intended Use
This model is intended for text generation tasks.
Training
The model was fine-tuned on the Elriggs/openwebtext-100k dataset.
Evaluation
Evaluation was not recorded.
Limitations
May perform repetitions, but very not likely.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 2.14.6
- Tokenizers 0.22.0