Downloads · 30 days
6
4% of all-time downloads
question-context-random-to10-p-all_q
natope/question-context-random-to10-p-all_q
question-context-random-to10-p-all_q is a machine learning model from natope. 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. --
All-time downloads
150
Public
Repo size
27.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.2 GB · 98%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Jun 13, 2023
- Updated
- Jun 13, 2023
- SHA
- a9412ae8
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. -->
question-context-random-to10-p-all_q
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0532
- eval_rouge1: 0.9979
- eval_rouge2: 0.0
- eval_rougeL: 0.9979
- eval_rougeLsum: 0.9979
- eval_gen_len: 2.0
- eval_runtime: 410.5021
- eval_samples_per_second: 9.135
- eval_steps_per_second: 9.135
- epoch: 1.0
- step: 11248
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jun 13, 2023
- Updated
- Jun 13, 2023