update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: t5-small
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- billsum
|
| 8 |
+
metrics:
|
| 9 |
+
- rouge
|
| 10 |
+
model-index:
|
| 11 |
+
- name: t5-small-billsum
|
| 12 |
+
results:
|
| 13 |
+
- task:
|
| 14 |
+
name: Sequence-to-sequence Language Modeling
|
| 15 |
+
type: text2text-generation
|
| 16 |
+
dataset:
|
| 17 |
+
name: billsum
|
| 18 |
+
type: billsum
|
| 19 |
+
config: default
|
| 20 |
+
split: ca_test
|
| 21 |
+
args: default
|
| 22 |
+
metrics:
|
| 23 |
+
- name: Rouge1
|
| 24 |
+
type: rouge
|
| 25 |
+
value: 0.1528
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 29 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 30 |
+
|
| 31 |
+
# t5-small-billsum
|
| 32 |
+
|
| 33 |
+
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
|
| 34 |
+
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 2.5246
|
| 36 |
+
- Rouge1: 0.1528
|
| 37 |
+
- Rouge2: 0.0586
|
| 38 |
+
- Rougel: 0.1291
|
| 39 |
+
- Rougelsum: 0.1292
|
| 40 |
+
- Gen Len: 19.0
|
| 41 |
+
|
| 42 |
+
## Model description
|
| 43 |
+
|
| 44 |
+
More information needed
|
| 45 |
+
|
| 46 |
+
## Intended uses & limitations
|
| 47 |
+
|
| 48 |
+
More information needed
|
| 49 |
+
|
| 50 |
+
## Training and evaluation data
|
| 51 |
+
|
| 52 |
+
More information needed
|
| 53 |
+
|
| 54 |
+
## Training procedure
|
| 55 |
+
|
| 56 |
+
### Training hyperparameters
|
| 57 |
+
|
| 58 |
+
The following hyperparameters were used during training:
|
| 59 |
+
- learning_rate: 2e-05
|
| 60 |
+
- train_batch_size: 16
|
| 61 |
+
- eval_batch_size: 16
|
| 62 |
+
- seed: 42
|
| 63 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 64 |
+
- lr_scheduler_type: linear
|
| 65 |
+
- num_epochs: 5
|
| 66 |
+
|
| 67 |
+
### Training results
|
| 68 |
+
|
| 69 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 70 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
| 71 |
+
| No log | 1.0 | 62 | 2.8551 | 0.1284 | 0.0348 | 0.1081 | 0.1085 | 19.0 |
|
| 72 |
+
| No log | 2.0 | 124 | 2.6404 | 0.1373 | 0.0453 | 0.1147 | 0.1147 | 19.0 |
|
| 73 |
+
| No log | 3.0 | 186 | 2.5665 | 0.1423 | 0.0494 | 0.1195 | 0.1192 | 19.0 |
|
| 74 |
+
| No log | 4.0 | 248 | 2.5342 | 0.149 | 0.055 | 0.1259 | 0.1257 | 19.0 |
|
| 75 |
+
| No log | 5.0 | 310 | 2.5246 | 0.1528 | 0.0586 | 0.1291 | 0.1292 | 19.0 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- Transformers 4.31.0
|
| 81 |
+
- Pytorch 2.0.1+cu118
|
| 82 |
+
- Datasets 2.14.4
|
| 83 |
+
- Tokenizers 0.13.3
|