File size: 2,485 Bytes
e7c544d |
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 77 |
---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-finetuned-ancient_chinese-to-modern_chinese
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-base-finetuned-ancient_chinese-to-modern_chinese
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1221
- Bleu: 84.7874
- Gen Len: 7.4143
## 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: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.1833 | 1.0 | 716 | 0.1371 | 83.007 | 7.5431 |
| 0.1528 | 2.0 | 1432 | 0.1286 | 84.1978 | 7.4289 |
| 0.1414 | 3.0 | 2148 | 0.1279 | 84.8682 | 7.4034 |
| 0.131 | 4.0 | 2864 | 0.1252 | 84.6009 | 7.4209 |
| 0.1298 | 5.0 | 3580 | 0.1250 | 84.7541 | 7.4146 |
| 0.1325 | 6.0 | 4296 | 0.1233 | 85.0001 | 7.4097 |
| 0.1284 | 7.0 | 5012 | 0.1235 | 84.7152 | 7.4122 |
| 0.1315 | 8.0 | 5728 | 0.1232 | 85.2833 | 7.4097 |
| 0.1276 | 9.0 | 6444 | 0.1231 | 84.7562 | 7.4104 |
| 0.1259 | 10.0 | 7160 | 0.1226 | 84.684 | 7.4139 |
| 0.1259 | 11.0 | 7876 | 0.1216 | 84.8757 | 7.4129 |
| 0.1257 | 12.0 | 8592 | 0.1221 | 84.6458 | 7.4143 |
| 0.1233 | 13.0 | 9308 | 0.1220 | 84.8371 | 7.4122 |
| 0.1217 | 14.0 | 10024 | 0.1218 | 84.7984 | 7.4115 |
| 0.1253 | 15.0 | 10740 | 0.1221 | 84.7874 | 7.4143 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|