File size: 1,954 Bytes
a132369 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-eLife
results: []
---
<!-- 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-eLife
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0533
- Rouge1: 16.8601
- Rouge2: 3.5043
- Rougel: 13.0262
- Rougelsum: 15.2504
- Gen Len: 19.0
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.6071 | 1.0 | 544 | 2.2323 | 16.7606 | 3.2667 | 12.9074 | 15.1681 | 19.0 |
| 2.438 | 2.0 | 1088 | 2.1395 | 16.9106 | 3.3542 | 13.0126 | 15.3345 | 19.0 |
| 2.3649 | 3.0 | 1632 | 2.0900 | 16.9637 | 3.5315 | 13.0919 | 15.3446 | 19.0 |
| 2.3264 | 4.0 | 2176 | 2.0624 | 16.8183 | 3.4983 | 13.0296 | 15.226 | 19.0 |
| 2.292 | 5.0 | 2720 | 2.0533 | 16.8601 | 3.5043 | 13.0262 | 15.2504 | 19.0 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1
|