Commit
•
1af07d8
1
Parent(s):
c05d038
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
model-index:
|
| 6 |
+
- name: t5-small-text-simplification_1e4_adafactor
|
| 7 |
+
results: []
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
+
|
| 13 |
+
# t5-small-text-simplification_1e4_adafactor
|
| 14 |
+
|
| 15 |
+
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.4541
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 0.0001
|
| 37 |
+
- train_batch_size: 256
|
| 38 |
+
- eval_batch_size: 256
|
| 39 |
+
- seed: 42
|
| 40 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 41 |
+
- lr_scheduler_type: linear
|
| 42 |
+
- num_epochs: 20
|
| 43 |
+
|
| 44 |
+
### Training results
|
| 45 |
+
|
| 46 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 47 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 48 |
+
| 0.8842 | 1.0 | 582 | 0.4651 |
|
| 49 |
+
| 0.5737 | 2.0 | 1164 | 0.4611 |
|
| 50 |
+
| 0.5559 | 3.0 | 1746 | 0.4585 |
|
| 51 |
+
| 0.548 | 4.0 | 2328 | 0.4573 |
|
| 52 |
+
| 0.541 | 5.0 | 2910 | 0.4565 |
|
| 53 |
+
| 0.5349 | 6.0 | 3492 | 0.4564 |
|
| 54 |
+
| 0.5257 | 7.0 | 4074 | 0.4552 |
|
| 55 |
+
| 0.5223 | 8.0 | 4656 | 0.4558 |
|
| 56 |
+
| 0.5185 | 9.0 | 5238 | 0.4550 |
|
| 57 |
+
| 0.5145 | 10.0 | 5820 | 0.4544 |
|
| 58 |
+
| 0.5166 | 11.0 | 6402 | 0.4551 |
|
| 59 |
+
| 0.5104 | 12.0 | 6984 | 0.4546 |
|
| 60 |
+
| 0.5089 | 13.0 | 7566 | 0.4547 |
|
| 61 |
+
| 0.5054 | 14.0 | 8148 | 0.4544 |
|
| 62 |
+
| 0.5047 | 15.0 | 8730 | 0.4544 |
|
| 63 |
+
| 0.5043 | 16.0 | 9312 | 0.4537 |
|
| 64 |
+
| 0.5021 | 17.0 | 9894 | 0.4539 |
|
| 65 |
+
| 0.5034 | 18.0 | 10476 | 0.4539 |
|
| 66 |
+
| 0.5008 | 19.0 | 11058 | 0.4541 |
|
| 67 |
+
| 0.5003 | 20.0 | 11640 | 0.4541 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- Transformers 4.30.2
|
| 73 |
+
- Pytorch 2.0.1+cu118
|
| 74 |
+
- Datasets 2.13.1
|
| 75 |
+
- Tokenizers 0.13.3
|