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Update README.md

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Add description of use and limitations.

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@@ -33,16 +33,29 @@ It achieves the following results on the evaluation set:
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  ## Model description
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  The model has been trained to perform token classification task by training the bert-base-cased model. The tokens to be classified correspond to
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- the values and units of scientific measurements. This is a work in progress.
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  For example in the sentence:
 
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  "Place the seeds in a refrigerator at 4°C along with a small amount of water for 2-3 days."
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  The model will select "4°C" and identify the value as 4 and the unit as °C
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  ## Intended uses & limitations
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- More information needed
 
 
 
 
 
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  ## Training and evaluation data
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  ## Model description
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  The model has been trained to perform token classification task by training the bert-base-cased model. The tokens to be classified correspond to
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+ the values and units of scientific measurements.
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  For example in the sentence:
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+
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  "Place the seeds in a refrigerator at 4°C along with a small amount of water for 2-3 days."
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  The model will select "4°C" and identify the value as 4 and the unit as °C
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+ "Centrifuge at 863g for 5 min at room temperature (18–28°C), decant supernatant and resuspend cells in culture medium."
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+
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+ The model will identify to value-unit combinations:
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+
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+ - VALUE : 863, UNIT: g
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+ - VALUE : 18 - 28, UNIT: '°C'
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+
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  ## Intended uses & limitations
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+ Identify VALUES and scientific UNITS from a sentence.
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+
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+ This is a work in progress and currently only identifies the units:
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+ - Temperature: '°C'
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+ - Mass (grams): 'g, ug, mg'
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+ - Volume (L): 'L, uL, mL'
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  ## Training and evaluation data
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