Edit model card

flant5-small-finetuning

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: nan

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss
35680616.448 0.64 500 nan
0.0 1.28 1000 nan
0.0 1.93 1500 nan
0.0 2.57 2000 nan
0.0 3.21 2500 nan
0.0 3.85 3000 nan
0.0 4.49 3500 nan
0.0 5.14 4000 nan
0.0 5.78 4500 nan

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.19.0
  • Tokenizers 0.15.2
Downloads last month
0
Safetensors
Model size
77M params
Tensor type
F32
·
FP16
·
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 tuquyennnn/flant5-small-finetuning

Finetuned
(297)
this model