SBERT-Large on Kaggle Russian News Dataset

<table> <thead> <tr> <th rowspan="4">Model</th> <th rowspan="4">Score<br></th> <th rowspan="4">Rank</th> <th colspan="12">Dataset</th> </tr> <tr> <td colspan="6">SentiRuEval-2016<br></td> <td colspan="2" rowspan="2">RuSentiment</td> <td rowspan="2">KRND</td> <td rowspan="2">LINIS Crowd</td> <td rowspan="2">RuTweetCorp</td> <td rowspan="2">RuReviews</td> </tr> <tr> <td colspan="3">TC</td> <td colspan="3">Banks</td> </tr> <tr> <td>micro F₁</td> <td>macro F₁</td> <td>F₁</td> <td>micro F₁</td> <td>macro F₁</td> <td>F₁</td> <td>wighted F₁</td> <td>F₁</td> <td>F₁</td> <td>F₁</td> <td>F₁</td> <td>F₁</td> </tr> </thead> <tbody> <tr> <td>SOTA</td> <td>n/s</td> <td></td> <td>76.71</td> <td>66.40</td> <td>70.68</td> <td>67.51</td> <td>69.53</td> <td>74.06</td> <td>78.50</td> <td>n/s</td> <td>73.63</td> <td>60.51</td> <td>83.68</td> <td>77.44</td> </tr> <tr> <td>XLM-RoBERTa-Large</td> <td>76.37</td> <td>1</td> <td>82.26</td> <td>76.36</td> <td>79.42</td> <td>76.35</td> <td>76.08</td> <td>80.89</td> <td>78.31</td> <td>75.27</td> <td>75.17</td> <td>60.03</td> <td>88.91</td> <td>78.81</td> </tr> <tr> <td>SBERT-Large</td> <td>75.43</td> <td>2</td> <td>78.40</td> <td>71.36</td> <td>75.14</td> <td>72.39</td> <td>71.87</td> <td>77.72</td> <td>78.58</td> <td>75.85</td> <td>74.20</td> <td>60.64</td> <td>88.66</td> <td>77.41</td> </tr> <tr> <td>MBARTRuSumGazeta</td> <td>74.70</td> <td>3</td> <td>76.06</td> <td>68.95</td> <td>73.04</td> <td>72.34</td> <td>71.93</td> <td>77.83</td> <td>76.71</td> <td>73.56</td> <td>74.18</td> <td>60.54</td> <td>87.22</td> <td>77.51</td> </tr> <tr> <td>Conversational RuBERT</td> <td>74.44</td> <td>4</td> <td>76.69</td> <td>69.09</td> <td>73.11</td> <td>69.44</td> <td>68.68</td> <td>75.56</td> <td>77.31</td> <td>74.40</td> <td>73.10</td> <td>59.95</td> <td>87.86</td> <td>77.78</td> </tr> <tr> <td>LaBSE</td> <td>74.11</td> <td>5</td> <td>77.00</td> <td>69.19</td> <td>73.55</td> <td>70.34</td> <td>69.83</td> <td>76.38</td> <td>74.94</td> <td>70.84</td> <td>73.20</td> <td>59.52</td> <td>87.89</td> <td>78.47</td> </tr> <tr> <td>XLM-RoBERTa-Base</td> <td>73.60</td> <td>6</td> <td>76.35</td> <td>69.37</td> <td>73.42</td> <td>68.45</td> <td>67.45</td> <td>74.05</td> <td>74.26</td> <td>70.44</td> <td>71.40</td> <td>60.19</td> <td>87.90</td> <td>78.28</td> </tr> <tr> <td>RuBERT</td> <td>73.45</td> <td>7</td> <td>74.03</td> <td>66.14</td> <td>70.75</td> <td>66.46</td> <td>66.40</td> <td>73.37</td> <td>75.49</td> <td>71.86</td> <td>72.15</td> <td>60.55</td> <td>86.99</td> <td>77.41</td> </tr> <tr> <td>MBART-50-Large-Many-to-Many</td> <td>73.15</td> <td>8</td> <td>75.38</td> <td>67.81</td> <td>72.26</td> <td>67.13</td> <td>66.97</td> <td>73.85</td> <td>74.78</td> <td>70.98</td> <td>71.98</td> <td>59.20</td> <td>87.05</td> <td>77.24</td> </tr> <tr> <td>SlavicBERT</td> <td>71.96</td> <td>9</td> <td>71.45</td> <td>63.03</td> <td>68.44</td> <td>64.32</td> <td>63.99</td> <td>71.31</td> <td>72.13</td> <td>67.57</td> <td>72.54</td> <td>58.70</td> <td>86.43</td> <td>77.16</td> </tr> <tr> <td>EnRuDR-BERT</td> <td>71.51</td> <td>10</td> <td>72.56</td> <td>64.74</td> <td>69.07</td> <td>61.44</td> <td>60.21</td> <td>68.34</td> <td>74.19</td> <td>69.94</td> <td>69.33</td> <td>56.55</td> <td>87.12</td> <td>77.95</td> </tr> <tr> <td>RuDR-BERT</td> <td>71.14</td> <td>11</td> <td>72.79</td> <td>64.23</td> <td>68.36</td> <td>61.86</td> <td>60.92</td> <td>68.48</td> <td>74.65</td> <td>70.63</td> <td>68.74</td> <td>54.45</td> <td>87.04</td> <td>77.91</td> </tr> <tr> <td>MBART-50-Large</td> <td>69.46</td> <td>12</td> <td>70.91</td> <td>62.67</td> <td>67.24</td> <td>61.12</td> <td>60.25</td> <td>68.41</td> <td>72.88</td> <td>68.63</td> <td>70.52</td> <td>46.39</td> <td>86.48</td> <td>77.52</td> </tr> </tbody> </table>