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
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for enriquesaou/debug_seq2seq_squad
Base model
google-t5/t5-small
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("enriquesaou/debug_seq2seq_squad") model = AutoModelForSeq2SeqLM.from_pretrained("enriquesaou/debug_seq2seq_squad")