update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- rouge
|
| 7 |
+
model-index:
|
| 8 |
+
- name: flan-t5-large-extraction-cnndm_2000-summary
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# flan-t5-large-extraction-cnndm_2000-summary
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.7295
|
| 20 |
+
- Rouge1: 27.984
|
| 21 |
+
- Rouge2: 11.9662
|
| 22 |
+
- Rougel: 25.9999
|
| 23 |
+
- Rougelsum: 26.0222
|
| 24 |
+
- Gen Len: 18.962
|
| 25 |
+
|
| 26 |
+
## Model description
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Intended uses & limitations
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training and evaluation data
|
| 35 |
+
|
| 36 |
+
More information needed
|
| 37 |
+
|
| 38 |
+
## Training procedure
|
| 39 |
+
|
| 40 |
+
### Training hyperparameters
|
| 41 |
+
|
| 42 |
+
The following hyperparameters were used during training:
|
| 43 |
+
- learning_rate: 2e-05
|
| 44 |
+
- train_batch_size: 8
|
| 45 |
+
- eval_batch_size: 24
|
| 46 |
+
- seed: 1799
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: linear
|
| 49 |
+
- num_epochs: 10
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
|
| 55 |
+
| 2.1425 | 0.8 | 200 | 1.7841 | 27.3288 | 11.2913 | 25.3127 | 25.3298 | 18.958 |
|
| 56 |
+
| 1.8911 | 1.6 | 400 | 1.7508 | 28.4085 | 12.3877 | 26.3391 | 26.374 | 18.98 |
|
| 57 |
+
| 1.7625 | 2.4 | 600 | 1.7295 | 27.984 | 11.9662 | 25.9999 | 26.0222 | 18.962 |
|
| 58 |
+
| 1.7011 | 3.2 | 800 | 1.7338 | 28.5793 | 12.578 | 26.6817 | 26.7064 | 18.974 |
|
| 59 |
+
| 1.6198 | 4.0 | 1000 | 1.7298 | 28.7805 | 12.8467 | 26.6043 | 26.6578 | 18.992 |
|
| 60 |
+
| 1.5813 | 4.8 | 1200 | 1.7331 | 28.305 | 12.1954 | 26.1588 | 26.1865 | 18.984 |
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
### Framework versions
|
| 64 |
+
|
| 65 |
+
- Transformers 4.18.0
|
| 66 |
+
- Pytorch 1.10.0+cu111
|
| 67 |
+
- Datasets 2.5.1
|
| 68 |
+
- Tokenizers 0.12.1
|