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e2e-flan-large-noscore
divers/e2e-flan-large-noscore
e2e-flan-large-noscore 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 <tbody <tr <td45</td <td0.354900</td <td0.269528</td <t…
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Repo size
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Apr 28, 2023
- Updated
- May 13, 2023
- SHA
- 48b4e6e6
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>
<tbody>
<tr>
<td>45</td>
<td>0.354900</td>
<td>0.269528</td>
<td>0.576800</td>
<td>0.401800</td>
<td>0.459100</td>
<td>0.568700</td>
<td>477.000000</td>
</tr>
<tr>
<td>46</td>
<td>0.336500</td>
<td>0.266415</td>
<td>0.589300</td>
<td>0.407500</td>
<td>0.462300</td>
<td>0.578900</td>
<td>531.588200</td>
</tr>
<tr>
<td>47</td>
<td>0.330200</td>
<td>0.264836</td>
<td>0.527300</td>
<td>0.359300</td>
<td>0.419800</td>
<td>0.519300</td>
<td>602.764700</td>
</tr>
<tr>
<td>49</td>
<td>0.326100</td>
<td>0.263734</td>
<td>0.562700</td>
<td>0.399900</td>
<td>0.458800</td>
<td>0.556100</td>
<td>562.941200</td>
</tr>
<tr>
<td>49</td>
<td>0.326700</td>
<td>0.262347</td>
<td>0.585700</td>
<td>0.413500</td>
<td>0.474000</td>
<td>0.577500</td>
<td>545.882400</td>
</tr>
<tr>
<td>50</td>
<td>0.319400</td>
<td>0.261993</td>
<td>0.581300</td>
<td>0.411200</td>
<td>0.471100</td>
<td>0.570000</td>
<td>555.941200</td>
</tr>
<tr>
<td>51</td>
<td>0.314700</td>
<td>0.261653</td>
<td>0.586700</td>
<td>0.415300</td>
<td>0.473400</td>
<td>0.578600</td>
<td>543.529400</td>
</tr>
<tr>
<td>53</td>
<td>0.311900</td>
<td>0.261087</td>
<td>0.617900</td>
<td>0.433900</td>
<td>0.489800</td>
<td>0.608700</td>
<td>525.647100</td>
</tr>
<tr>
<td>53</td>
<td>0.315600</td>
<td>0.260690</td>
<td>0.616000</td>
<td>0.434500</td>
<td>0.492100</td>
<td>0.606800</td>
<td>529.588200</td>
</tr>
<tr>
<td>54</td>
<td>0.315400</td>
<td>0.260348</td>
<td>0.615600</td>
<td>0.432100</td>
<td>0.489000</td>
<td>0.605500</td>
<td>535.411800</td>
</tr>
<tr>
<td>55</td>
<td>0.307700</td>
<td>0.259774</td>
<td>0.622600</td>
<td>0.443800</td>
<td>0.497700</td>
<td>0.613200</td>
<td>529.647100</td>
</tr>
<tr>
<td>56</td>
<td>0.306800</td>
<td>0.259790</td>
<td>0.620900</td>
<td>0.438100</td>
<td>0.493000</td>
<td>0.610600</td>
<td>515.058800</td>
</tr>
<tr>
<td>58</td>
<td>0.305700</td>
<td>0.259624</td>
<td>0.618500</td>
<td>0.434000</td>
<td>0.489200</td>
<td>0.607800</td>
<td>506.352900</td>
</tr>
<tr>
<td>58</td>
<td>0.310700</td>
<td>0.259519</td>
<td>0.618800</td>
<td>0.434700</td>
<td>0.489100</td>
<td>0.608000</td>
<td>506.529400</td>
</tr>
<tr>
<td>59</td>
<td>0.300900</td>
<td>0.259501</td>
<td>0.618800</td>
<td>0.434700</td>
<td>0.489100</td>
<td>0.608000</td>
<td>506.529400</td>
</tr>
</table>
- Library
- transformers
- Type
- t5
- Created
- Apr 28, 2023
- Updated
- May 13, 2023