Downloads · 30 days
0
flan-t5-large-full
alexyhc/flan-t5-large-full
flan-t5-large-full is a machine learning model from alexyhc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Apr 7, 2024
Repo size
12.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt9.4 GB · 75%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Apr 7, 2024
- Updated
- Apr 7, 2024
- SHA
- 3140e347
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-large
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Gen Len: 100.0179
- Loss: 1.7264
- Rouge1: 45.7249
- Rouge2: 19.5118
- Rougel: 33.0194
- Rougelsum: 42.7326
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: 14
- eval_batch_size: 14
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 56
- total_eval_batch_size: 56
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 302 | 106.2758 | 1.7235 | 44.3127 | 18.5321 | 31.8618 | 41.1286 |
| 1.8444 | 2.0 | 604 | 98.7378 | 1.7037 | 44.6191 | 18.529 | 32.4108 | 41.5764 |
| 1.8444 | 3.0 | 906 | 100.9276 | 1.7065 | 45.2044 | 19.0224 | 32.7758 | 42.1475 |
| 1.6046 | 4.0 | 1208 | 97.4516 | 1.7114 | 45.5049 | 19.1992 | 32.905 | 42.5556 |
| 1.565 | 5.0 | 1510 | 100.0179 | 1.7264 | 45.7249 | 19.5118 | 33.0194 | 42.7326 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- License
- apache-2.0
- Created
- Apr 7, 2024
- Updated
- Apr 7, 2024