Update README.md

README.md

@@ -5,7 +5,7 @@ language:
 base_model:
 - OpenLLM-Ro/RoLlama2-7b-Base
 model-index:
-- name: OpenLLM-Ro/RoLlama2-7b-Instruct
+- name: OpenLLM-Ro/RoLlama2-7b-Instruct-2024-05-14
   results:
   - task:
       type: text-generation
@@ -557,6 +557,7 @@ print(tokenizer.decode(outputs[0]))
 ## Academic Benchmarks
 
 
+
 <table>
 <tbody>
 <tr>
@@ -573,12 +574,14 @@ print(tokenizer.decode(outputs[0]))
 <td>Llama-2-7b-chat</td><td><center>36.84</center></td><td><center>37.03</center></td><td><center>33.80</center></td><td><center>55.87</center></td><td><center>45.36</center></td><td><center>4.90</center></td><td><center>44.09</center></td>
 </tr>
 <tr>
-<td><em>RoLlama2-7b-Instruct</em></td><td><center><em><strong>45.71</strong></em></center></td><td><center><em><strong>43.66</strong></em></center></td><td><center><em><strong>39.70</strong></em></center></td><td><center><em><strong>70.34</strong></em></center></td><td><center><em><strong>57.36</strong></em></center></td><td><center><em><strong>18.78</strong></em></center></td><td><center><em><strong>44.44</strong></em></center></td>
+<td><em>RoLlama2-7b-Instruct-2024-05-14</em></td><td><center><em><strong>45.71</strong></em></center></td><td><center><em>43.66</em></center></td><td><center><em>39.70</em></center></td><td><center><em><strong>70.34</strong></em></center></td><td><center><em>57.36</em></center></td><td><center><em><strong>18.78</strong></em></center></td><td><center><em>44.44</em></center></td>
+</tr>
+<tr>
+<td>RoLlama2-7b-Instruct-2024-10-09</td><td><center>44.50</center></td><td><center><strong>44.73</strong></center></td><td><center><strong>40.39</strong></center></td><td><center>63.67</center></td><td><center><strong>59.12</strong></center></td><td><center>13.29</center></td><td><center><strong>45.78</strong></center></td>
 </tr>
 </tbody>
 </table>
 
-
 ## Downstream tasks
 
                                   
@@ -611,7 +614,10 @@ print(tokenizer.decode(outputs[0]))
 <td>Llama-2-7b-chat</td><td><center>87.78</center></td><td><center>52.81</center></td><td><center>97.27</center></td><td><center>82.02</center></td><td><center>15.55</center></td><td><center><strong>28.53</strong></center></td><td><center>19.99</center></td><td><center>31.48</center></td>
 </tr>
 <tr>
-<td><em>RoLlama2-7b-Instruct</em></td><td><center><em><strong>97.48</strong></em></center></td><td><center><em><strong>65.26</strong></em></center></td><td><center><em><strong>98.83</strong></em></center></td><td><center><em><strong>87.28</strong></em></center></td><td><center><em><strong>27.38</strong></em></center></td><td><center><em>10.32</em></center></td><td><center><em><strong>27.59</strong></em></center></td><td><center><em><strong>40.13</strong></em></center></td>
+<td><em>RoLlama2-7b-Instruct-2024-05-14</em></td><td><center><em>97.48</em></center></td><td><center><em><strong>65.26</strong></em></center></td><td><center><em><strong>98.83</strong></em></center></td><td><center><em><strong>87.28</strong></em></center></td><td><center><em><strong>27.38</strong></em></center></td><td><center><em>10.32</em></center></td><td><center><em>27.59</em></center></td><td><center><em><strong>40.13</strong></em></center></td>
+</tr>
+<tr>
+<td>RoLlama2-7b-Instruct-2024-10-09</td><td><center><strong>97.66</strong></center></td><td><center>62.41</center></td><td><center>97.97</center></td><td><center>60.89</center></td><td><center>27.13</center></td><td><center>19.39</center></td><td><center><strong>27.63</strong></center></td><td><center>39.75</center></td>
 </tr>
 </tbody>
 </table>
@@ -646,11 +652,15 @@ print(tokenizer.decode(outputs[0]))
 <td>Llama-2-7b-chat</td><td><center>32.35</center></td><td><center>54.00</center></td><td><center><strong>60.34</strong></center></td><td><center><strong>75.98</strong></center></td><td><center>32.56</center></td><td><center>31.99</center></td><td><center>74.08</center></td><td><center>72.64</center></td>
 </tr>
 <tr>
-<td><em>RoLlama2-7b-Instruct</em></td><td><center><em><strong>44.52</strong></em></center></td><td><center><em><strong>64.75</strong></em></center></td><td><center><em>54.96</em></center></td><td><center><em>70.20</em></center></td><td><center><em><strong>65.50</strong></em></center></td><td><center><em><strong>67.79</strong></em></center></td><td><center><em><strong>84.44</strong></em></center></td><td><center><em><strong>84.76</strong></em></center></td>
+<td><em>RoLlama2-7b-Instruct-2024-05-14</em></td><td><center><em>44.52</em></center></td><td><center><em>64.75</em></center></td><td><center><em>54.96</em></center></td><td><center><em>70.20</em></center></td><td><center><em><strong>65.50</strong></em></center></td><td><center><em><strong>67.79</strong></em></center></td><td><center><em>84.44</em></center></td><td><center><em>84.76</em></center></td>
+</tr>
+<tr>
+<td>RoLlama2-7b-Instruct-2024-10-09</td><td><center><strong>45.71</strong></center></td><td><center><strong>65.08</strong></center></td><td><center>59.24</center></td><td><center>74.25</center></td><td><center>59.69</center></td><td><center>57.16</center></td><td><center><strong>84.66</strong></center></td><td><center><strong>85.07</strong></center></td>
 </tr>
 </tbody>
 </table>
 
+
 ## Romanian MT-Bench
 
 <table>
@@ -666,7 +676,10 @@ print(tokenizer.decode(outputs[0]))
 <td>Llama-2-7b-chat</td><td><center>1.08</center></td><td><center>1.44</center></td><td><center>0.73</center></td><td><center>45/160</center></td>
 </tr>
 <tr>
-<td><em>RoLlama2-7b-Instruct</em></td><td><center><em><strong>3.86</strong></em></center></td><td><center><em><strong>4.67</strong></em></center></td><td><center><em><strong>3.04</strong></em></center></td><td><center><em><strong>160/160</strong></em></center></td>
+<td><em>RoLlama2-7b-Instruct-2024-05-14</em></td><td><center><em>3.86</em></center></td><td><center><em>4.67</em></center></td><td><center><em>3.04</em></center></td><td><center><em><strong>160/160</strong></em></center></td>
+</tr>
+<tr>
+<td>RoLlama2-7b-Instruct-2024-10-09</td><td><center><strong>4.43</strong></center></td><td><center><strong>4.92</strong></center></td><td><center><strong>3.94</strong></center></td><td><center><strong>160/160</strong></center></td>
 </tr>
 </tbody>
 </table>
@@ -686,19 +699,26 @@ print(tokenizer.decode(outputs[0]))
 <td>Llama-2-7b-chat</td><td><center>1.21</center></td><td><center>33/100</center></td>
 </tr>
 <tr>
-<td><em>RoLlama2-7b-Instruct</em></td><td><center><em><strong>3.77</strong></em></center></td><td><center><em><strong>100/100</strong></em></center></td>
+<td><em>RoLlama2-7b-Instruct-2024-05-14</em></td><td><center><em>3.77</em></center></td><td><center><em><strong>100/100</strong></em></center></td>
+</tr>
+<tr>
+<td>RoLlama2-7b-Instruct-2024-10-09</td><td><center><strong>4.08</strong></center></td><td><center><strong>100/100</strong></center></td>
 </tr>
 </tbody>
 </table>
 
 
 
+
+
 ## RoLlama2 Model Family
 
 | Model              | Link  |
 |--------------------|:--------:|
-|RoLlama2-7b-Base | [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Base)    |
-|*RoLlama2-7b-Instruct*| [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Instruct) |
+|RoLlama2-7b-Base-2024-05-14 | [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Base-2024-05-14)    |
+|*RoLlama2-7b-Instruct-2024-05-14* | [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Instruct-2024-05-14)    |
+|RoLlama2-7b-Instruct-2024-10-09| [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Instruct-2024-10-09) |
+|RoLlama2-7b-Instruct-DPO-2024-10-09| [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Instruct-DPO-2024-10-09) |