File size: 1,853 Bytes
358d670 |
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 |
---
license: cc-by-sa-4.0
base_model: p1atdev/t5-base-xlsum-ja
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Megagon_step3
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. -->
# Megagon_step3
This model is a fine-tuned version of [p1atdev/t5-base-xlsum-ja](https://huggingface.co/p1atdev/t5-base-xlsum-ja) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1857
- Rouge1: 0.2252
- Rouge2: 0.0901
- Rougel: 0.2243
- Rougelsum: 0.2239
- Gen Len: 10.8153
## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 79 | 2.2342 | 0.2695 | 0.1327 | 0.2702 | 0.2686 | 11.036 |
| No log | 2.0 | 158 | 1.3641 | 0.267 | 0.1222 | 0.2674 | 0.2634 | 10.9775 |
| No log | 3.0 | 237 | 1.2064 | 0.2307 | 0.099 | 0.2297 | 0.229 | 10.9324 |
| No log | 4.0 | 316 | 1.1857 | 0.2252 | 0.0901 | 0.2243 | 0.2239 | 10.8153 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
|