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e2e-flan-large-noscore-totalds
divers/e2e-flan-large-noscore-totalds
e2e-flan-large-noscore-totalds is a machine learning model from divers. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
<table <thead <tr <thEpoch</th <thTraining Loss</th <thValidation Loss</th <thRouge1</th <thRouge2</th <thRougel</th <thRougelsum</th <thGen Len</th </tr </thead <tr <td0</td <td0.630300</td <td0.412157</td <td0.41760…
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- May 2, 2023
- Updated
- May 13, 2023
- SHA
- 77e959bf
Model card
From the Hugging Face model README
<table>
<thead>
<tr>
<th>Epoch</th>
<th>Training Loss</th>
<th>Validation Loss</th>
<th>Rouge1</th>
<th>Rouge2</th>
<th>Rougel</th>
<th>Rougelsum</th>
<th>Gen Len</th>
</tr>
</thead>
<tr>
<td>0</td>
<td>0.630300</td>
<td>0.412157</td>
<td>0.417600</td>
<td>0.263800</td>
<td>0.332800</td>
<td>0.406200</td>
<td>794.000000</td>
</tr>
<tr>
<td>1</td>
<td>0.445600</td>
<td>0.371808</td>
<td>0.516700</td>
<td>0.336200</td>
<td>0.415500</td>
<td>0.508000</td>
<td>560.642900</td>
</tr>
<tr>
<td>2</td>
<td>0.398800</td>
<td>0.350914</td>
<td>0.562700</td>
<td>0.375400</td>
<td>0.443900</td>
<td>0.552700</td>
<td>523.714300</td>
</tr>
<tr>
<td>4</td>
<td>0.350600</td>
<td>0.334888</td>
<td>0.553300</td>
<td>0.364900</td>
<td>0.427100</td>
<td>0.538800</td>
<td>464.035700</td>
</tr>
<tr>
<td>5</td>
<td>0.334300</td>
<td>0.326556</td>
<td>0.552100</td>
<td>0.361400</td>
<td>0.429900</td>
<td>0.540300</td>
<td>517.821400</td>
</tr>
<tr>
<td>6</td>
<td>0.322300</td>
<td>0.321693</td>
<td>0.596600</td>
<td>0.400800</td>
<td>0.469400</td>
<td>0.586400</td>
<td>414.892900</td>
</tr>
<tr>
<td>8</td>
<td>0.308800</td>
<td>0.321562</td>
<td>0.594200</td>
<td>0.389100</td>
<td>0.458500</td>
<td>0.581800</td>
<td>401.357100</td>
</tr>
<tr>
<td>8</td>
<td>0.300100</td>
<td>0.319800</td>
<td>0.586200</td>
<td>0.376100</td>
<td>0.453400</td>
<td>0.571500</td>
<td>381.357100</td>
</tr>
<tr>
<td>9</td>
<td>0.291200</td>
<td>0.319443</td>
<td>0.611500</td>
<td>0.399600</td>
<td>0.468600</td>
<td>0.597500</td>
<td>368.821400</td>
</tr>
<tr>
<td>10</td>
<td>0.282900</td>
<td>0.318927</td>
<td>0.593200</td>
<td>0.388700</td>
<td>0.459100</td>
<td>0.579800</td>
<td>354.285700</td>
</tr>
<tr>
<td>12</td>
<td>0.273700</td>
<td>0.319651</td>
<td>0.594000</td>
<td>0.394200</td>
<td>0.457000</td>
<td>0.580800</td>
<td>386.785700</td>
</tr>
<tr>
<td>12</td>
<td>0.268100</td>
<td>0.315178</td>
<td>0.603700</td>
<td>0.396100</td>
<td>0.465300</td>
<td>0.588500</td>
<td>365.714300</td>
</tr>
<tr>
<td>13</td>
<td>0.262000</td>
<td>0.312819</td>
<td>0.601500</td>
<td>0.402800</td>
<td>0.471700</td>
<td>0.586000</td>
<td>377.250000</td>
</tr>
<tr>
<td>14</td>
<td>0.254900</td>
<td>0.316255</td>
<td>0.601200</td>
<td>0.397600</td>
<td>0.469700</td>
<td>0.587900</td>
<td>353.071400</td>
</tr>
<tr>
<td>16</td>
<td>0.248500</td>
<td>0.316413</td>
<td>0.610300</td>
<td>0.407900</td>
<td>0.476000</td>
<td>0.597400</td>
<td>341.464300</td>
</tr>
<tr>
<td>16</td>
<td>0.243600</td>
<td>0.315982</td>
<td>0.611400</td>
<td>0.404900</td>
<td>0.483200</td>
<td>0.598300</td>
<td>379.571400</td>
</tr>
<tr>
<td>17</td>
<td>0.238900</td>
<td>0.318108</td>
<td>0.608100</td>
<td>0.408200</td>
<td>0.486100</td>
<td>0.594000</td>
<td>375.964300</td>
</tr>
<tr>
<td>18</td>
<td>0.233900</td>
<td>0.317792</td>
<td>0.600200</td>
<td>0.406300</td>
<td>0.471700</td>
<td>0.587600</td>
<td>346.964300</td>
</tr>
<tr>
<td>19</td>
<td>0.229600</td>
<td>0.322435</td>
<td>0.599100</td>
<td>0.407100</td>
<td>0.479600</td>
<td>0.586600</td>
<td>362.571400</td>
</tr>
</table>
- Library
- transformers
- Type
- t5
- Created
- May 2, 2023
- Updated
- May 13, 2023