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sc20fg
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base_model_custom_tokenizer

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
sc20fg commited on
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End of training

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Files changed (3) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 0.04187394133215175
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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
@@ -34,10 +34,10 @@ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base)
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  It achieves the following results on the evaluation set:
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  - Loss: 2.9297
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  - Bleu: 0.0419
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- - Precisions: [0.16649534190177087, 0.051348991553988456, 0.025540646253995505, 0.014080221032903762]
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  - Brevity Penalty: 1.0
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- - Length Ratio: 1.9158
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- - Translation Length: 1515640
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  - Reference Length: 791127
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  ## Model description
@@ -85,10 +85,10 @@ The following hyperparameters were used during training:
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  | 2.9746 | 14.0 | 360668 | 0.0411 | 1.0 | 1.9154 | 2.9622 | [0.16395222297528722, 0.050373776569881686, 0.02506334156586741, 0.013817874614866431] | 791127 | 1515289 |
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  | 2.9556 | 15.0 | 386430 | 0.0416 | 1.0 | 1.8903 | 2.9505 | [0.16631916674913938, 0.05114349827528396, 0.025291167834370104, 0.013919582587470626] | 791127 | 1495444 |
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  | 2.9423 | 16.0 | 412192 | 0.0415 | 1.0 | 1.9161 | 2.9441 | [0.1656048056193977, 0.050903942131636466, 0.02527336097239107, 0.013901882376966617] | 791127 | 1515892 |
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- | 2.9257 | 17.0 | 437954 | 2.9387 | 0.0417 | [0.16566872310834463, 0.051149695919205686, 0.02547749541013215, 0.01403388257902964]| 1.0 | 1.9204 | 1519291 | 791127 |
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- | 2.9023 | 18.0 | 463716 | 2.9331 | 0.0417 | [0.16569868978430946, 0.05118214894137258, 0.025432645752525008, 0.014019028423183673]| 1.0 | 1.9252 | 1523108 | 791127 |
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- | 2.946 | 19.0 | 489478 | 2.9301 | 0.0420 | [0.16682044755191178, 0.051534782710695386, 0.02563003483561942, 0.014141190855303378]| 1.0 | 1.9138 | 1514059 | 791127 |
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- | 2.8868 | 20.0 | 515240 | 2.9297 | 0.0419 | [0.16649534190177087, 0.051348991553988456, 0.025540646253995505, 0.014080221032903762]| 1.0 | 1.9158 | 1515640 | 791127 |
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  ### Framework versions
 
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  metrics:
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  - name: Bleu
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  type: bleu
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+ value: 0.0418696919911329
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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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  It achieves the following results on the evaluation set:
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  - Loss: 2.9297
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  - Bleu: 0.0419
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+ - Precisions: [0.16646886171883812, 0.051341379400381214, 0.025538496667355304, 0.01408001744219341]
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  - Brevity Penalty: 1.0
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+ - Length Ratio: 1.9160
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+ - Translation Length: 1515803
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  - Reference Length: 791127
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  ## Model description
 
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  | 2.9746 | 14.0 | 360668 | 0.0411 | 1.0 | 1.9154 | 2.9622 | [0.16395222297528722, 0.050373776569881686, 0.02506334156586741, 0.013817874614866431] | 791127 | 1515289 |
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  | 2.9556 | 15.0 | 386430 | 0.0416 | 1.0 | 1.8903 | 2.9505 | [0.16631916674913938, 0.05114349827528396, 0.025291167834370104, 0.013919582587470626] | 791127 | 1495444 |
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  | 2.9423 | 16.0 | 412192 | 0.0415 | 1.0 | 1.9161 | 2.9441 | [0.1656048056193977, 0.050903942131636466, 0.02527336097239107, 0.013901882376966617] | 791127 | 1515892 |
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+ | 2.9257 | 17.0 | 437954 | 0.0417 | 1.0 | 1.9204 | 2.9387 | [0.16566872310834463, 0.051149695919205686, 0.02547749541013215, 0.01403388257902964] | 791127 | 1519291 |
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+ | 2.9023 | 18.0 | 463716 | 0.0417 | 1.0 | 1.9252 | 2.9331 | [0.16569868978430946, 0.05118214894137258, 0.025432645752525008, 0.014019028423183673] | 791127 | 1523108 |
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+ | 2.946 | 19.0 | 489478 | 0.0420 | 1.0 | 1.9138 | 2.9301 | [0.16682044755191178, 0.051534782710695386, 0.02563003483561942, 0.014141190855303378] | 791127 | 1514059 |
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+ | 2.8761 | 20.0 | 515240 | 2.9297 | 0.0419 | [0.16646886171883812, 0.051341379400381214, 0.025538496667355304, 0.01408001744219341]| 1.0 | 1.9160 | 1515803 | 791127 |
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  ### Framework versions
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