Danielwei0214
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End of training
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README.md
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---
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license: apache-2.0
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base_model: t5-base
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: t5-base-finetuned-ancient_chinese-to-modern_chinese
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# t5-base-finetuned-ancient_chinese-to-modern_chinese
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1221
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- Bleu: 84.7874
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- Gen Len: 7.4143
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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| 0.1833 | 1.0 | 716 | 0.1371 | 83.007 | 7.5431 |
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| 0.1528 | 2.0 | 1432 | 0.1286 | 84.1978 | 7.4289 |
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| 0.1414 | 3.0 | 2148 | 0.1279 | 84.8682 | 7.4034 |
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| 0.131 | 4.0 | 2864 | 0.1252 | 84.6009 | 7.4209 |
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| 0.1298 | 5.0 | 3580 | 0.1250 | 84.7541 | 7.4146 |
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| 0.1325 | 6.0 | 4296 | 0.1233 | 85.0001 | 7.4097 |
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| 0.1284 | 7.0 | 5012 | 0.1235 | 84.7152 | 7.4122 |
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| 0.1315 | 8.0 | 5728 | 0.1232 | 85.2833 | 7.4097 |
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| 0.1276 | 9.0 | 6444 | 0.1231 | 84.7562 | 7.4104 |
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| 0.1259 | 10.0 | 7160 | 0.1226 | 84.684 | 7.4139 |
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| 0.1259 | 11.0 | 7876 | 0.1216 | 84.8757 | 7.4129 |
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| 0.1257 | 12.0 | 8592 | 0.1221 | 84.6458 | 7.4143 |
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| 0.1233 | 13.0 | 9308 | 0.1220 | 84.8371 | 7.4122 |
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| 0.1217 | 14.0 | 10024 | 0.1218 | 84.7984 | 7.4115 |
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| 0.1253 | 15.0 | 10740 | 0.1221 | 84.7874 | 7.4143 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.41.2"
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}
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model.safetensors
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runs/Jun27_05-36-16_fbb34bc62d94/events.out.tfevents.1719466589.fbb34bc62d94.313.1
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