Edit model card

Visualize in Weights & Biases

debug_seq2seq_squad

This model is a fine-tuned version of google-t5/t5-small on the squad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7565

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: 3e-05
  • train_batch_size: 12
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2.0

Training results

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1
Downloads last month
0
Safetensors
Model size
60.5M 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 enriquesaou/debug_seq2seq_squad

Base model

google-t5/t5-small
Finetuned
(1524)
this model

Dataset used to train enriquesaou/debug_seq2seq_squad