Downloads · 30 days
9
21% of all-time downloads
flan-t5-base-mimic-med-reports
sidovic/flan-t5-base-mimic-med-reports
flan-t5-base-mimic-med-reports is a machine learning model from sidovic. 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
43
Public
Parameters
248M
4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors990 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 20, 2024
- Updated
- May 21, 2024
- SHA
- d4815dce
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. -->
flan-t5-base-mimic-med-reports
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2032
- Rouge1: 52.8742
- Rouge2: 42.4294
- Rougel: 51.1178
- Rougelsum: 51.8773
- Meteor: 47.6053
- Bleu4: 14.2811
- Bleu-p1: 61.1865
- Bleu-p2: 43.5135
- Bleu-p3: 33.9223
- Bleu-p4: 25.8304
- Gen Len: 13.4702
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Meteor | Bleu4 | Bleu-p1 | Bleu-p2 | Bleu-p3 | Bleu-p4 | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.2627 | 1.0 | 10497 | 0.2235 | 51.0687 | 39.674 | 49.6154 | 50.1361 | 45.6438 | 13.1526 | 60.4125 | 40.8134 | 31.1521 | 23.6299 | 13.2415 |
| 0.2376 | 2.0 | 20994 | 0.2102 | 51.5603 | 40.8339 | 49.8247 | 50.5212 | 46.2244 | 13.1941 | 60.8733 | 42.1622 | 32.8697 | 24.9374 | 13.1225 |
| 0.23 | 3.0 | 31491 | 0.2051 | 52.5731 | 41.7381 | 50.8502 | 51.6767 | 47.2270 | 14.0337 | 60.9681 | 42.8231 | 33.1248 | 25.1256 | 13.4702 |
| 0.2288 | 4.0 | 41988 | 0.2032 | 52.8742 | 42.4294 | 51.1178 | 51.8773 | 47.6053 | 14.2811 | 61.1865 | 43.5135 | 33.9223 | 25.8304 | 13.4702 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 20, 2024
- Updated
- May 21, 2024