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t5-base-mrqa-plus
enriquesaou/t5-base-mrqa-plus
t5-base-mrqa-plus is a machine learning model from enriquesaou. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024
- SHA
- 666c6289
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
t5-base-mrqa-plus
This model is a fine-tuned version of google-t5/t5-base on an MRQA sample. It achieves the following results on the evaluation set:
- Loss: 0.653221
Model description
T5 base but trained at FP16 in the MRQA sample dataset. This model is the checkpoint at 3000 steps (3rd epoch), because there were instabilities during the late epochs.
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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 18
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3 (5) (we take model checkpoint at 3rd epoch)
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7978 | 0.9996 | 833 | 0.6668 |
| 0.6516 | 1.9992 | 1666 | 0.6532 |
| 0.6275 | 3.0 | 2500 | 0.6532 |
| (0.6443) | (3.9996) | (3333) | (0.6533) |
| (2.0743) | (4.998) | (4165 | (nan) |
Note that this model is the checkpoint at 3000 steps (3rd epoch), because there were instabilities during the late epochs.
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024