Downloads · 30 days
6
10% of all-time downloads
CMSC_473_t5
lseely916/CMSC_473_t5
CMSC_473_t5 is a machine learning model from lseely916. 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
61
Public
Parameters
60.5M
9.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 2, 2024
- Updated
- May 7, 2024
- SHA
- 74bbb9af
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. -->
CMSC_473_t5
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1403
- Bleu: 12.7146
- Gen Len: 13.662
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: 0.0001
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.5184 | 1.0 | 3125 | 2.2870 | 10.3407 | 13.975 |
| 2.3537 | 2.0 | 6250 | 2.1736 | 12.2498 | 13.7205 |
| 2.2641 | 3.0 | 9375 | 2.1403 | 12.7146 | 13.662 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 2, 2024
- Updated
- May 7, 2024