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End of training

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  1. README.md +24 -9
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -3,11 +3,26 @@ license: apache-2.0
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  base_model: t5-small
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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: my_t5_small_test
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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
@@ -15,11 +30,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_t5_small_test
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1133
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- - Bleu: 0.0
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- - Gen Len: 2.0
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  ## Model description
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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 | 1 | 0.1134 | 0.0 | 2.0 |
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- | No log | 2.0 | 2 | 0.1133 | 0.0 | 2.0 |
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  ### Framework versions
 
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  base_model: t5-small
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - opus_books
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  metrics:
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  - bleu
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  model-index:
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  - name: my_t5_small_test
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: opus_books
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+ type: opus_books
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+ config: en-fr
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+ split: train
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+ args: en-fr
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 5.7664
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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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  # my_t5_small_test
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6010
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+ - Bleu: 5.7664
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+ - Gen Len: 17.6027
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  ## Model description
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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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+ | 1.867 | 1.0 | 6355 | 1.6247 | 5.6027 | 17.6111 |
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+ | 1.8289 | 2.0 | 12710 | 1.6010 | 5.7664 | 17.6027 |
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  ### Framework versions
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