File size: 1,946 Bytes
b5b3495 |
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-finetunesmallT5
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-finetunesmallT5
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 22.8504
- Rouge1: 80.2116
- Rouge2: 70.3704
- Rougel: 80.2116
- Rougelsum: 80.2116
- Gen Len: 4.0
## 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: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 4 | 27.3213 | 80.2116 | 70.3704 | 80.2116 | 80.2116 | 4.0 |
| No log | 2.0 | 8 | 25.8240 | 80.2116 | 70.3704 | 80.2116 | 80.2116 | 4.0 |
| No log | 3.0 | 12 | 24.2754 | 80.2116 | 70.3704 | 80.2116 | 80.2116 | 4.0 |
| No log | 4.0 | 16 | 23.4084 | 80.2116 | 70.3704 | 80.2116 | 80.2116 | 4.0 |
| No log | 5.0 | 20 | 22.8504 | 80.2116 | 70.3704 | 80.2116 | 80.2116 | 4.0 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
|