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claudiatang
/
flan-t5-base-eng-hwp

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Transformers
PyTorch
English
Hawai'i Creole English
t5
text2text-generation
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
claudiatang commited on
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End of training

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  1. README.md +16 -19
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6073
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- - Bleu: 4.9074
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- - Gen Len: 18.8338
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  ## Model description
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@@ -44,27 +44,24 @@ The following hyperparameters were used during training:
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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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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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- | No log | 1.0 | 420 | 1.6234 | 3.464 | 18.8 |
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- | 2.1287 | 2.0 | 840 | 1.4706 | 4.1392 | 18.8084 |
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- | 1.5094 | 3.0 | 1260 | 1.4294 | 4.3477 | 18.7924 |
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- | 1.2917 | 4.0 | 1680 | 1.4015 | 4.5189 | 18.8068 |
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- | 1.1347 | 5.0 | 2100 | 1.3900 | 4.697 | 18.8236 |
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- | 1.012 | 6.0 | 2520 | 1.4038 | 4.7522 | 18.8051 |
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- | 1.012 | 7.0 | 2940 | 1.4086 | 4.8399 | 18.8177 |
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- | 0.901 | 8.0 | 3360 | 1.4453 | 4.8191 | 18.8253 |
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- | 0.818 | 9.0 | 3780 | 1.4678 | 4.8245 | 18.8203 |
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- | 0.7511 | 10.0 | 4200 | 1.4922 | 4.951 | 18.8574 |
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- | 0.693 | 11.0 | 4620 | 1.5186 | 4.9174 | 18.8363 |
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- | 0.6462 | 12.0 | 5040 | 1.5487 | 5.0009 | 18.8338 |
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- | 0.6462 | 13.0 | 5460 | 1.5651 | 5.021 | 18.8295 |
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- | 0.6062 | 14.0 | 5880 | 1.5942 | 4.8801 | 18.8245 |
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- | 0.5781 | 15.0 | 6300 | 1.6073 | 4.9074 | 18.8338 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5058
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+ - Bleu: 4.9532
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+ - Gen Len: 18.8709
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  ## Model description
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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: 12
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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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+ | No log | 1.0 | 420 | 1.6158 | 3.6321 | 18.892 |
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+ | 2.1318 | 2.0 | 840 | 1.4711 | 4.19 | 18.8743 |
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+ | 1.5146 | 3.0 | 1260 | 1.4193 | 4.3921 | 18.8608 |
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+ | 1.2936 | 4.0 | 1680 | 1.3936 | 4.5268 | 18.8363 |
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+ | 1.1403 | 5.0 | 2100 | 1.4030 | 4.6813 | 18.8608 |
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+ | 1.0284 | 6.0 | 2520 | 1.4078 | 4.8234 | 18.8684 |
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+ | 1.0284 | 7.0 | 2940 | 1.4192 | 4.8126 | 18.8709 |
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+ | 0.9196 | 8.0 | 3360 | 1.4303 | 4.8599 | 18.87 |
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+ | 0.8459 | 9.0 | 3780 | 1.4506 | 4.7802 | 18.8599 |
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+ | 0.7884 | 10.0 | 4200 | 1.4757 | 4.8895 | 18.8785 |
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+ | 0.739 | 11.0 | 4620 | 1.4945 | 4.9126 | 18.8759 |
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+ | 0.7083 | 12.0 | 5040 | 1.5058 | 4.9532 | 18.8709 |
 
 
 
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  ### Framework versions
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