metadata

tags:
  - generated_from_trainer
datasets:
  - wikitext
model-index:
  - name: clm_output_medium
    results: []

clm_output_medium

This model is a fine-tuned version of gpt2-medium on the wikitext wikitext-103-raw-v1 dataset. It achieves the following results on the evaluation set:

Loss: 2.6973

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: 1
eval_batch_size: 1
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 256
total_train_batch_size: 1024
total_eval_batch_size: 18
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
training precision: Mixed Precision

Training results

Framework versions

Transformers 4.18.0.dev0
Pytorch 1.10.0+cpu
Datasets 2.0.0
Tokenizers 0.11.6