metadata

base_model: temporary0-0name/pretrained_model
tags:
  - generated_from_trainer
datasets:
  - wikitext
model-index:
  - name: pretrained_model
    results: []

pretrained_model

This model is a fine-tuned version of temporary0-0name/pretrained_model on the wikitext dataset. It achieves the following results on the evaluation set:

Loss: 6.4796

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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
7.6923	0.55	100	6.4796

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0