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license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: debug_seq2seq_squad
results: []
---
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# debug_seq2seq_squad
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/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
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