Edit model card

genzifAI

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3448
  • Bleu: 0.8368
  • Gen Len: 18.0242

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 41 2.4920 0.3115 18.9273
No log 2.0 82 2.3448 0.8368 18.0242

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.2
  • Tokenizers 0.13.3
Downloads last month
1
Inference Examples
Inference API (serverless) is not available, repository is disabled.

Model tree for archie-kay/genzifAI

Base model

google-t5/t5-small
Finetuned
this model