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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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- # hieroglyph_unicode_translator_t5_small
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-
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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: 4.1388
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- - Gen Len: 6.946
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  ## Model description
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  More information needed
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  ## Intended uses & limitations
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
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- | 5.0665 | 1.0 | 688 | 4.2034 | 0.0 | 6.946 |
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- | 4.4621 | 2.0 | 1376 | 4.1388 | 0.0 | 6.946 |
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  ### Framework versions
 
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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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+ # Hieroglyph Unicode Translator Model
 
 
 
 
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+ This model was created to translate hieroglyphs into english. Egyptian Hieroglyphs have bee
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  ## Model description
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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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+
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  More information needed
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  ## Intended uses & limitations
 
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  ## Training procedure
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+
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+
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+
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 5.0665 | 1.0 | 688 | 4.2034 | 6.946 |
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+ | 4.4621 | 2.0 | 1376 | 4.1388 | 6.946 |
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  ### Framework versions