This model is a fine-tuned version of EleutherAI/pythia-1.4b-deduped on the Fraser/short-jokes dataset. It achieves the following results on the evaluation set:

Loss: 0.0699
Accuracy: 0.9870

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.06	100	0.0729	0.9866
No log	0.12	200	0.0716	0.9868
No log	0.17	300	0.0705	0.9869
No log	0.23	400	0.0699	0.9870

Framework versions

Transformers 4.29.0.dev0
Pytorch 2.0.0-rc1
Datasets 2.11.0
Tokenizers 0.13.3

AlekseyKorshuk/pythia-1.4b-deduped-jokes

pythia-1.4b-deduped-jokes

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AlekseyKorshuk/
pythia-1.4b-deduped-jokes