Edit model card

Visualize in Weights & Biases Visualize in Weights & Biases

flan-t5-base-xsum

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

  • Loss: 1.9268

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
2.1058 1.0 125 1.9193
2.1462 2.0 250 1.9229
1.7736 3.0 375 1.9268

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.1.2
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month
1
Safetensors
Model size
248M params
Tensor type
F32
·
Inference API
This model can be loaded on Inference API (serverless).

Finetuned from