Downloads · 30 days
6
4% of all-time downloads
mt5-summarize-ch_trad
ivanlai/mt5-summarize-ch_trad
mt5-summarize-ch_trad is a machine learning model from ivanlai. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
168
Public
Repo size
10.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin220 MB · 99%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 18, 2023
- Updated
- Feb 26, 2023
- SHA
- 5fd2913a
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. -->
mt5-summarize-ch_trad
This model is a fine-tuned version of uer/t5-small-chinese-cluecorpussmall on the xlsum dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.2489
- eval_rouge1: 0.1313
- eval_rouge2: 0.0505
- eval_rougeL: 0.1275
- eval_rougeLsum: 0.1272
- eval_gen_len: 128.0
- eval_runtime: 541.5872
- eval_samples_per_second: 8.623
- eval_steps_per_second: 0.27
- epoch: 7.71
- step: 9000
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- Created
- Feb 18, 2023
- Updated
- Feb 26, 2023