File size: 1,885 Bytes
fbccda6 3ceb780 fbccda6 3ceb780 94c0eb3 3ceb780 fbccda6 94c0eb3 fbccda6 3ceb780 94c0eb3 3ceb780 |
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: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-policy
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. -->
# t5-small-finetuned-policy
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6990
- Rouge1: 18.4909
- Rouge2: 10.2538
- Rougel: 15.7923
- Rougelsum: 17.7389
- 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: 2e-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: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 9 | 3.8135 | 17.7379 | 9.4809 | 15.1302 | 17.2319 | 19.0 |
| No log | 2.0 | 18 | 3.1032 | 18.6526 | 10.4901 | 15.8718 | 17.8287 | 19.0 |
| No log | 3.0 | 27 | 2.7841 | 18.4909 | 10.2538 | 15.7923 | 17.7389 | 19.0 |
| No log | 4.0 | 36 | 2.6990 | 18.4909 | 10.2538 | 15.7923 | 17.7389 | 19.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
|