Downloads · 30 days
6
24% of all-time downloads
t5-multi-context
yeye776/t5-multi-context
t5-multi-context is a machine learning model from yeye776. 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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
25
Public
Parameters
820M
3.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.3 GB · 100%
At a glance
- Library
- transformers
- License
- cc-by-4.0
- Model type
- t5
- Access
- Public
- Created
- Nov 6, 2023
- Updated
- Nov 7, 2023
- SHA
- d11e0674
Base models
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-multi-context
This model is a fine-tuned version of yeye776/t5-large-finetuned-multi_v3 on the None dataset.
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: 0.0007
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 15
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- cc-by-4.0
- Created
- Nov 6, 2023
- Updated
- Nov 7, 2023