History

Jakub Kaczmarek e1b933bf4d Initial commit		2023-02-16 18:21:17 +01:00
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README.md	Initial commit	2023-02-16 18:21:17 +01:00
all_results.json	Initial commit	2023-02-16 18:21:17 +01:00
eval_results.json	Initial commit	2023-02-16 18:21:17 +01:00
predict_results_None.txt	Initial commit	2023-02-16 18:21:17 +01:00

README.md

tags

model-index

generated_from_trainer

name

results

gpt2_results

gpt2_results

This model is a fine-tuned version of out/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3020
eval_accuracy: 0.9195
eval_runtime: 24.1139
eval_samples_per_second: 82.94
eval_steps_per_second: 10.367
step: 0

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: 2e-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
training_steps: 2500

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2