File size: 2,393 Bytes
28ac37c |
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 70 71 72 73 74 75 76 |
---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-base-eng-hwp-kjv
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-eng-hwp-kjv
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5821
- Bleu: 5.0891
- Gen Len: 18.8633
## 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: 0.0003
- 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: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log | 1.0 | 420 | 1.6077 | 3.732 | 18.8506 |
| 2.1314 | 2.0 | 840 | 1.4572 | 4.2893 | 18.8557 |
| 1.5079 | 3.0 | 1260 | 1.3978 | 4.6504 | 18.8599 |
| 1.2945 | 4.0 | 1680 | 1.3788 | 4.8595 | 18.8641 |
| 1.1387 | 5.0 | 2100 | 1.3841 | 4.907 | 18.8819 |
| 1.0142 | 6.0 | 2520 | 1.3776 | 5.0933 | 18.8743 |
| 1.0142 | 7.0 | 2940 | 1.3912 | 5.1246 | 18.8726 |
| 0.9024 | 8.0 | 3360 | 1.4158 | 5.1468 | 18.8692 |
| 0.8227 | 9.0 | 3780 | 1.4403 | 5.1846 | 18.865 |
| 0.749 | 10.0 | 4200 | 1.4685 | 5.0892 | 18.8844 |
| 0.7012 | 11.0 | 4620 | 1.4997 | 5.1485 | 18.8852 |
| 0.6446 | 12.0 | 5040 | 1.5162 | 5.2782 | 18.8776 |
| 0.6446 | 13.0 | 5460 | 1.5465 | 5.0961 | 18.8743 |
| 0.6063 | 14.0 | 5880 | 1.5588 | 5.0723 | 18.8768 |
| 0.5801 | 15.0 | 6300 | 1.5821 | 5.0891 | 18.8633 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
|