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Auto-deploy from Colab training

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Information-Retrieval_evaluation_kepja227-val_results.csv CHANGED
@@ -2,3 +2,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precis
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README.md CHANGED
@@ -328,13 +328,13 @@ model-index:
328
  value: 0.765993265993266
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  name: Cosine Recall@10
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  - type: cosine_ndcg@10
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- value: 0.6874797322596491
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  name: Cosine Ndcg@10
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  - type: cosine_mrr@10
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- value: 0.6630217519106407
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  name: Cosine Mrr@10
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  - type: cosine_map@100
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- value: 0.6681023681162689
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  name: Cosine Map@100
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  ---
340
 
@@ -448,7 +448,7 @@ You can finetune this model on your own dataset.
448
  | cosine_recall@5 | 0.7155 |
449
  | cosine_recall@10 | 0.766 |
450
  | **cosine_ndcg@10** | **0.6875** |
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- | cosine_mrr@10 | 0.663 |
452
  | cosine_map@100 | 0.6681 |
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454
  <!--
@@ -624,8 +624,8 @@ You can finetune this model on your own dataset.
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  | Epoch | Step | kepja227-val_cosine_ndcg@10 |
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  |:------:|:----:|:---------------------------:|
626
  | 1.0 | 83 | 0.6752 |
627
- | 1.2048 | 100 | 0.6750 |
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- | 2.0 | 166 | 0.6819 |
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  | 2.4096 | 200 | 0.6875 |
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631
 
 
328
  value: 0.765993265993266
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  name: Cosine Recall@10
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  - type: cosine_ndcg@10
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+ value: 0.687518240430987
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  name: Cosine Ndcg@10
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  - type: cosine_mrr@10
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+ value: 0.6630618352840574
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  name: Cosine Mrr@10
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  - type: cosine_map@100
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+ value: 0.6681380265450393
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  name: Cosine Map@100
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  ---
340
 
 
448
  | cosine_recall@5 | 0.7155 |
449
  | cosine_recall@10 | 0.766 |
450
  | **cosine_ndcg@10** | **0.6875** |
451
+ | cosine_mrr@10 | 0.6631 |
452
  | cosine_map@100 | 0.6681 |
453
 
454
  <!--
 
624
  | Epoch | Step | kepja227-val_cosine_ndcg@10 |
625
  |:------:|:----:|:---------------------------:|
626
  | 1.0 | 83 | 0.6752 |
627
+ | 1.2048 | 100 | 0.6752 |
628
+ | 2.0 | 166 | 0.6825 |
629
  | 2.4096 | 200 | 0.6875 |
630
 
631
 
eval/Information-Retrieval_evaluation_kepja227-val_results.csv CHANGED
@@ -8,3 +8,6 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@5,cosine-Accuracy@10,cosine-Precis
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