metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: distilgpt2-multiprompt-v2-fp
    results: []

distilgpt2-multiprompt-v2-fp

This model is a fine-tuned version of pszemraj/distilgpt2-multiprompt-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0213

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: 0.0006
train_batch_size: 16
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.1637	1.0	965	2.0581
2.0885	2.0	1930	2.0213

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.1