output

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1962
  • Memory Allocated (gb): 54.03
  • Max Memory Allocated (gb): 54.47
  • Total Memory Available (gb): 94.62

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: 128
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
  • lr_scheduler_type: reduce_lr_on_plateau
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Allocated (gb) Memory Allocated (gb) Memory Available (gb)
0.2846 1.0 196 0.1962 54.03 54.47 94.62

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.1a0+git4989238
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month
20
Safetensors
Model size
109M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for gosshh/output

Finetuned
(2308)
this model