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

Loss: 0.7553

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.433	8.33	100	0.7553

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Tokenizers 0.13.3

Geo/gpt2_custom_c_q_and_a_v2

gpt2_custom_c_q_and_a_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Geo/
gpt2_custom_c_q_and_a_v2