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chakochen
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t5-base-destination-inference

Summarization
Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
1
chakochen commited on
Commit
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1 Parent(s): 8a3d6d2

Training complete

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Files changed (3) hide show
  1. README.md +15 -15
  2. generation_config.json +1 -1
  3. pytorch_model.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0973
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- - Rouge1: 96.588
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  - Rouge2: 0.0
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- - Rougel: 96.588
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- - Rougelsum: 96.5792
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  ## Model description
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@@ -53,19 +53,19 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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- | 1.1906 | 1.0 | 5701 | 0.1466 | 94.1847 | 0.0 | 94.1672 | 94.1584 |
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- | 0.9407 | 2.0 | 11402 | 0.1228 | 94.632 | 0.0 | 94.6408 | 94.632 |
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- | 0.8533 | 3.0 | 17103 | 0.1106 | 95.4653 | 0.0 | 95.4653 | 95.4565 |
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- | 0.7889 | 4.0 | 22804 | 0.1017 | 95.8337 | 0.0 | 95.8249 | 95.8162 |
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- | 0.7394 | 5.0 | 28505 | 0.0990 | 96.2547 | 0.0 | 96.2591 | 96.2459 |
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- | 0.7014 | 6.0 | 34206 | 0.0986 | 96.3951 | 0.0 | 96.4038 | 96.3863 |
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- | 0.6737 | 7.0 | 39907 | 0.0966 | 96.4915 | 0.0 | 96.4872 | 96.474 |
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- | 0.6533 | 8.0 | 45608 | 0.0973 | 96.588 | 0.0 | 96.588 | 96.5792 |
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  ### Framework versions
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- - Transformers 4.33.3
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- - Pytorch 2.0.1+cu117
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  - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4240
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+ - Rouge1: 29.0369
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  - Rouge2: 0.0
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+ - Rougel: 29.0007
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+ - Rougelsum: 28.9826
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 2.1788 | 1.0 | 2762 | 1.6737 | 21.7686 | 0.0 | 21.7958 | 21.7596 |
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+ | 1.7176 | 2.0 | 5524 | 1.5569 | 24.6017 | 0.0 | 24.6017 | 24.5474 |
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+ | 1.556 | 3.0 | 8286 | 1.4978 | 26.05 | 0.0 | 26.05 | 26.0319 |
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+ | 1.4456 | 4.0 | 11048 | 1.4613 | 26.937 | 0.0 | 26.937 | 26.8827 |
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+ | 1.3661 | 5.0 | 13810 | 1.4351 | 28.2223 | 0.0 | 28.2223 | 28.2042 |
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+ | 1.3045 | 6.0 | 16572 | 1.4196 | 27.9508 | 0.0 | 27.9146 | 27.8965 |
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+ | 1.2519 | 7.0 | 19334 | 1.4211 | 28.8559 | 0.0 | 28.8378 | 28.8197 |
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+ | 1.2262 | 8.0 | 22096 | 1.4240 | 29.0369 | 0.0 | 29.0007 | 28.9826 |
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  ### Framework versions
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+ - Transformers 4.34.0
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+ - Pytorch 2.1.0+cu121
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1
generation_config.json CHANGED
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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": "4.33.3"
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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": "4.34.0"
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  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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