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README.md
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@@ -671,7 +671,7 @@ model-index:
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- type: precision_at_1
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value: 62.5
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- type: precision_at_10
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-
value: 30
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- type: precision_at_100
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value: 10.038
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- type: precision_at_1000
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@@ -3211,7 +3211,7 @@ model-index:
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- type: map_at_5
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| 3212 |
value: 1.097
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| 3213 |
- type: mrr_at_1
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| 3214 |
-
value: 90
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| 3215 |
- type: mrr_at_10
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value: 94.667
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- type: mrr_at_100
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@@ -3223,9 +3223,9 @@ model-index:
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- type: mrr_at_5
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| 3224 |
value: 94.667
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| 3225 |
- type: ndcg_at_1
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| 3226 |
-
value: 86
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| 3227 |
- type: ndcg_at_10
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| 3228 |
-
value: 82
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- type: ndcg_at_100
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| 3230 |
value: 64.307
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| 3231 |
- type: ndcg_at_1000
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@@ -3235,7 +3235,7 @@ model-index:
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| 3235 |
- type: ndcg_at_5
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| 3236 |
value: 84.904
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| 3237 |
- type: precision_at_1
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| 3238 |
-
value: 90
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| 3239 |
- type: precision_at_10
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| 3240 |
value: 85.8
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| 3241 |
- type: precision_at_100
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@@ -3243,7 +3243,7 @@ model-index:
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| 3243 |
- type: precision_at_1000
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| 3244 |
value: 25.202
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| 3245 |
- type: precision_at_3
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| 3246 |
-
value: 90
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| 3247 |
- type: precision_at_5
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| 3248 |
value: 89.2
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| 3249 |
- type: recall_at_1
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@@ -3440,7 +3440,7 @@ model-index:
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| 3440 |
- type: accuracy
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| 3441 |
value: 96.1
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| 3442 |
- type: f1
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| 3443 |
-
value: 95
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| 3444 |
- type: precision
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| 3445 |
value: 94.46666666666668
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| 3446 |
- type: recall
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@@ -3663,7 +3663,7 @@ model-index:
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| 3663 |
- type: f1
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| 3664 |
value: 98.2
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| 3665 |
- type: precision
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| 3666 |
-
value: 98
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| 3667 |
- type: recall
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| 3668 |
value: 98.6
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| 3669 |
- task:
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@@ -3931,13 +3931,13 @@ model-index:
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| 3931 |
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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metrics:
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| 3933 |
- type: accuracy
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| 3934 |
-
value: 96
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| 3935 |
- type: f1
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| 3936 |
value: 94.78333333333333
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| 3937 |
- type: precision
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| 3938 |
value: 94.18333333333334
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| 3939 |
- type: recall
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| 3940 |
-
value: 96
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| 3941 |
- task:
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type: BitextMining
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dataset:
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@@ -4084,13 +4084,13 @@ model-index:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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metrics:
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- type: accuracy
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-
value: 97
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- type: f1
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| 4089 |
value: 96.22333333333334
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- type: precision
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| 4091 |
value: 95.875
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| 4092 |
- type: recall
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-
value: 97
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- task:
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type: BitextMining
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dataset:
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@@ -4577,13 +4577,13 @@ model-index:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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metrics:
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- type: accuracy
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-
value: 92
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- type: f1
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value: 89.77999999999999
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- type: precision
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value: 88.78333333333333
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- type: recall
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-
value: 92
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- task:
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type: BitextMining
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dataset:
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@@ -4730,13 +4730,13 @@ model-index:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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metrics:
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- type: accuracy
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-
value: 97
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- type: f1
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value: 96.11666666666666
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- type: precision
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value: 95.68333333333334
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- type: recall
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-
value: 97
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- task:
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type: BitextMining
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dataset:
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@@ -5380,8 +5380,9 @@ model-index:
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| 5380 |
value: 87.11747055081017
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- type: max_f1
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value: 80.13002540726349
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---
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# Impulse2000/multilingual-e5-large-instruct-GGUF
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This model was converted to GGUF format from [`intfloat/multilingual-e5-large-instruct`](https://huggingface.co/intfloat/multilingual-e5-large-instruct) using llama.cpp via its 'convert_hf_to_gguf.py' script.
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-
Refer to the [original model card](https://huggingface.co/intfloat/multilingual-e5-large-instruct) for more details on the model.
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| 671 |
- type: precision_at_1
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| 672 |
value: 62.5
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| 673 |
- type: precision_at_10
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| 674 |
+
value: 30
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| 675 |
- type: precision_at_100
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| 676 |
value: 10.038
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| 677 |
- type: precision_at_1000
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| 3211 |
- type: map_at_5
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| 3212 |
value: 1.097
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| 3213 |
- type: mrr_at_1
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| 3214 |
+
value: 90
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| 3215 |
- type: mrr_at_10
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| 3216 |
value: 94.667
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| 3217 |
- type: mrr_at_100
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|
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| 3223 |
- type: mrr_at_5
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| 3224 |
value: 94.667
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| 3225 |
- type: ndcg_at_1
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| 3226 |
+
value: 86
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| 3227 |
- type: ndcg_at_10
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| 3228 |
+
value: 82
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| 3229 |
- type: ndcg_at_100
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| 3230 |
value: 64.307
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| 3231 |
- type: ndcg_at_1000
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| 3235 |
- type: ndcg_at_5
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| 3236 |
value: 84.904
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| 3237 |
- type: precision_at_1
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| 3238 |
+
value: 90
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| 3239 |
- type: precision_at_10
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| 3240 |
value: 85.8
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| 3241 |
- type: precision_at_100
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| 3243 |
- type: precision_at_1000
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| 3244 |
value: 25.202
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| 3245 |
- type: precision_at_3
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| 3246 |
+
value: 90
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| 3247 |
- type: precision_at_5
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| 3248 |
value: 89.2
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| 3249 |
- type: recall_at_1
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| 3440 |
- type: accuracy
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| 3441 |
value: 96.1
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| 3442 |
- type: f1
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| 3443 |
+
value: 95
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| 3444 |
- type: precision
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| 3445 |
value: 94.46666666666668
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| 3446 |
- type: recall
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|
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| 3663 |
- type: f1
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| 3664 |
value: 98.2
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| 3665 |
- type: precision
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| 3666 |
+
value: 98
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| 3667 |
- type: recall
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| 3668 |
value: 98.6
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| 3669 |
- task:
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|
| 3931 |
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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| 3932 |
metrics:
|
| 3933 |
- type: accuracy
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| 3934 |
+
value: 96
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| 3935 |
- type: f1
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| 3936 |
value: 94.78333333333333
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| 3937 |
- type: precision
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| 3938 |
value: 94.18333333333334
|
| 3939 |
- type: recall
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| 3940 |
+
value: 96
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| 3941 |
- task:
|
| 3942 |
type: BitextMining
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| 3943 |
dataset:
|
|
|
|
| 4084 |
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
|
| 4085 |
metrics:
|
| 4086 |
- type: accuracy
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| 4087 |
+
value: 97
|
| 4088 |
- type: f1
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| 4089 |
value: 96.22333333333334
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| 4090 |
- type: precision
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| 4091 |
value: 95.875
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| 4092 |
- type: recall
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| 4093 |
+
value: 97
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| 4094 |
- task:
|
| 4095 |
type: BitextMining
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| 4096 |
dataset:
|
|
|
|
| 4577 |
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
|
| 4578 |
metrics:
|
| 4579 |
- type: accuracy
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| 4580 |
+
value: 92
|
| 4581 |
- type: f1
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| 4582 |
value: 89.77999999999999
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| 4583 |
- type: precision
|
| 4584 |
value: 88.78333333333333
|
| 4585 |
- type: recall
|
| 4586 |
+
value: 92
|
| 4587 |
- task:
|
| 4588 |
type: BitextMining
|
| 4589 |
dataset:
|
|
|
|
| 4730 |
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
|
| 4731 |
metrics:
|
| 4732 |
- type: accuracy
|
| 4733 |
+
value: 97
|
| 4734 |
- type: f1
|
| 4735 |
value: 96.11666666666666
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| 4736 |
- type: precision
|
| 4737 |
value: 95.68333333333334
|
| 4738 |
- type: recall
|
| 4739 |
+
value: 97
|
| 4740 |
- task:
|
| 4741 |
type: BitextMining
|
| 4742 |
dataset:
|
|
|
|
| 5380 |
value: 87.11747055081017
|
| 5381 |
- type: max_f1
|
| 5382 |
value: 80.13002540726349
|
| 5383 |
+
pipeline_tag: feature-extraction
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| 5384 |
---
|
| 5385 |
|
| 5386 |
# Impulse2000/multilingual-e5-large-instruct-GGUF
|
| 5387 |
This model was converted to GGUF format from [`intfloat/multilingual-e5-large-instruct`](https://huggingface.co/intfloat/multilingual-e5-large-instruct) using llama.cpp via its 'convert_hf_to_gguf.py' script.
|
| 5388 |
+
Refer to the [original model card](https://huggingface.co/intfloat/multilingual-e5-large-instruct) for more details on the model.
|