Commit
•
d658625
1
Parent(s):
287eea0
Update spaCy pipeline
Browse files- README.md +21 -21
- accuracy.json +148 -148
- config.cfg +48 -22
- es_dep_news_trf-any-py3-none-any.whl +2 -2
- lemmatizer/lookups/lookups.bin +2 -2
- meta.json +153 -153
- morphologizer/model +2 -2
- parser/model +2 -2
- transformer/cfg +1 -1
- transformer/model +2 -2
- vocab/strings.json +2 -2
README.md
CHANGED
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@@ -14,59 +14,59 @@ model-index:
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS (UPOS) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: MORPH
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type: token-classification
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metrics:
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- name: Morph (UFeats) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: LEMMA
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type: token-classification
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metrics:
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- name: Lemma Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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-
value: 0.
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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-
value: 0.
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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-
value: 0.
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---
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### Details: https://spacy.io/models/es#es_dep_news_trf
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-
Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components: transformer, morphologizer, parser, attribute_ruler, lemmatizer.
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| Feature | Description |
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| --- | --- |
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| **Name** | `es_dep_news_trf` |
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-
| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
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| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
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| 72 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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@@ -95,15 +95,15 @@ Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components
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| `TOKEN_P` | 99.89 |
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| `TOKEN_R` | 99.95 |
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| 97 |
| `TOKEN_F` | 99.92 |
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| 98 |
-
| `POS_ACC` | 99.
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| 99 |
-
| `MORPH_ACC` | 98.
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| 100 |
-
| `MORPH_MICRO_P` | 99.
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-
| `MORPH_MICRO_R` | 99.
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| `MORPH_MICRO_F` | 99.51 |
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| 103 |
-
| `SENTS_P` | 96.
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| 104 |
-
| `SENTS_R` | 97.
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| 105 |
-
| `SENTS_F` | 97.
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| 106 |
-
| `DEP_UAS` | 94.
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-
| `DEP_LAS` |
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-
| `TAG_ACC` | 96.
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| 109 |
-
| `LEMMA_ACC` | 96.
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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| 17 |
+
value: 0.9674401664
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| 18 |
- task:
|
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name: POS
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type: token-classification
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metrics:
|
| 22 |
- name: POS (UPOS) Accuracy
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| 23 |
type: accuracy
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+
value: 0.9913065148
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- task:
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name: MORPH
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type: token-classification
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metrics:
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- name: Morph (UFeats) Accuracy
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type: accuracy
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+
value: 0.9877497028
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- task:
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name: LEMMA
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type: token-classification
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metrics:
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- name: Lemma Accuracy
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type: accuracy
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+
value: 0.9685370645
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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+
value: 0.9484729289
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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+
value: 0.9310393672
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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+
value: 0.9712057588
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---
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### Details: https://spacy.io/models/es#es_dep_news_trf
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+
Spanish transformer pipeline (Transformer(name='dccuchile/bert-base-spanish-wwm-cased', piece_encoder='bert-wordpiece', stride=112, type='bert', width=768, window=158, vocab_size=31002)). Components: transformer, morphologizer, parser, attribute_ruler, lemmatizer.
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| Feature | Description |
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| --- | --- |
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| **Name** | `es_dep_news_trf` |
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+
| **Version** | `3.7.2` |
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+
| **spaCy** | `>=3.7.0,<3.8.0` |
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
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| 71 |
| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
|
| 72 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
| 95 |
| `TOKEN_P` | 99.89 |
|
| 96 |
| `TOKEN_R` | 99.95 |
|
| 97 |
| `TOKEN_F` | 99.92 |
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| 98 |
+
| `POS_ACC` | 99.13 |
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| 99 |
+
| `MORPH_ACC` | 98.77 |
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| 100 |
+
| `MORPH_MICRO_P` | 99.66 |
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| 101 |
+
| `MORPH_MICRO_R` | 99.37 |
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| `MORPH_MICRO_F` | 99.51 |
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| 103 |
+
| `SENTS_P` | 96.37 |
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+
| `SENTS_R` | 97.88 |
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+
| `SENTS_F` | 97.12 |
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+
| `DEP_UAS` | 94.85 |
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+
| `DEP_LAS` | 93.10 |
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+
| `TAG_ACC` | 96.74 |
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+
| `LEMMA_ACC` | 96.85 |
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accuracy.json
CHANGED
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@@ -3,21 +3,21 @@
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"token_p": 0.9989078786,
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"token_r": 0.9995398685,
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"token_f": 0.9992237736,
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-
"pos_acc": 0.
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-
"morph_acc": 0.
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-
"morph_micro_p": 0.
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"morph_micro_r": 0.
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-
"morph_micro_f": 0.
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"morph_per_feat": {
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"Definite": {
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"Gender": {
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"Number": {
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"p": 0.998570932,
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@@ -25,44 +25,44 @@
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"f": 0.9966270262
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},
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"PronType": {
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"Poss": {
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"p": 1.0,
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@@ -75,34 +75,34 @@
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"f": 0.998998999
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"Case": {
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"Number[psor]": {
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"p": 1.0,
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"f": 1.0
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"csubj": {
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"parataxis": {
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"expl:impers": {
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"orphan": {
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"p": 0.0,
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@@ -272,9 +272,9 @@
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"f": 0.0
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"dep": {
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"p": 0.0,
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"f": 0.0
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}
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},
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-
"tag_acc": 0.
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"lemma_acc": 0.
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-
"speed":
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}
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"token_p": 0.9989078786,
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"token_r": 0.9995398685,
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"token_f": 0.9992237736,
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"pos_acc": 0.9913065148,
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"morph_acc": 0.9877497028,
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"morph_micro_p": 0.9966031189,
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"morph_micro_r": 0.9936743158,
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"morph_micro_f": 0.9951365624,
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"morph_per_feat": {
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"Definite": {
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"p": 0.998716303,
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"r": 0.9988587732,
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"f": 0.998787533
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},
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"Gender": {
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"p": 0.9968154529,
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"r": 0.9920507092,
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"f": 0.9944273736
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"Number": {
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"p": 0.998570932,
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"f": 0.9966270262
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},
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"PronType": {
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+
"p": 0.998181122,
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 279 |
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|
| 280 |
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|
| 292 |
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|
| 293 |
}
|
| 294 |
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|
| 295 |
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"tag_acc": 0.9674401664,
|
| 296 |
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"lemma_acc": 0.9685370645,
|
| 297 |
+
"speed": 2047.9632793631
|
| 298 |
}
|
config.cfg
CHANGED
|
@@ -17,6 +17,7 @@ after_creation = null
|
|
| 17 |
after_pipeline_creation = null
|
| 18 |
batch_size = 64
|
| 19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
|
|
|
| 20 |
|
| 21 |
[components]
|
| 22 |
|
|
@@ -45,10 +46,11 @@ nO = null
|
|
| 45 |
normalize = false
|
| 46 |
|
| 47 |
[components.morphologizer.model.tok2vec]
|
| 48 |
-
@architectures = "spacy-transformers.
|
| 49 |
-
|
| 50 |
upstream = "transformer"
|
| 51 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 52 |
|
| 53 |
[components.parser]
|
| 54 |
factory = "parser"
|
|
@@ -68,32 +70,44 @@ use_upper = false
|
|
| 68 |
nO = null
|
| 69 |
|
| 70 |
[components.parser.model.tok2vec]
|
| 71 |
-
@architectures = "spacy-transformers.
|
| 72 |
-
|
| 73 |
upstream = "transformer"
|
| 74 |
pooling = {"@layers":"reduce_mean.v1"}
|
|
|
|
| 75 |
|
| 76 |
[components.transformer]
|
| 77 |
-
factory = "
|
| 78 |
-
|
| 79 |
-
|
| 80 |
|
| 81 |
[components.transformer.model]
|
| 82 |
-
|
| 83 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
mixed_precision = false
|
| 85 |
-
|
| 86 |
-
[components.transformer.model.get_spans]
|
| 87 |
-
@span_getters = "spacy-transformers.strided_spans.v1"
|
| 88 |
-
window = 128
|
| 89 |
-
stride = 96
|
| 90 |
|
| 91 |
[components.transformer.model.grad_scaler_config]
|
| 92 |
|
| 93 |
-
[components.transformer.model.
|
| 94 |
-
|
| 95 |
-
|
| 96 |
-
|
|
|
|
| 97 |
|
| 98 |
[corpora]
|
| 99 |
|
|
@@ -130,11 +144,11 @@ annotating_components = []
|
|
| 130 |
before_update = null
|
| 131 |
|
| 132 |
[training.batcher]
|
| 133 |
-
@batchers = "spacy.
|
| 134 |
-
discard_oversize =
|
| 135 |
-
get_length = null
|
| 136 |
size = 2000
|
| 137 |
-
|
|
|
|
| 138 |
|
| 139 |
[training.logger]
|
| 140 |
@loggers = "spacy.ConsoleLogger.v1"
|
|
@@ -197,6 +211,18 @@ require = false
|
|
| 197 |
path = "corpus/labels/parser.json"
|
| 198 |
require = false
|
| 199 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 200 |
[initialize.lookups]
|
| 201 |
@misc = "spacy.LookupsDataLoader.v1"
|
| 202 |
lang = ${nlp.lang}
|
| 17 |
after_pipeline_creation = null
|
| 18 |
batch_size = 64
|
| 19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
| 20 |
+
vectors = {"@vectors":"spacy.Vectors.v1"}
|
| 21 |
|
| 22 |
[components]
|
| 23 |
|
| 46 |
normalize = false
|
| 47 |
|
| 48 |
[components.morphologizer.model.tok2vec]
|
| 49 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 50 |
+
width = ${components.transformer.model.hidden_width}
|
| 51 |
upstream = "transformer"
|
| 52 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 53 |
+
grad_factor = 1.0
|
| 54 |
|
| 55 |
[components.parser]
|
| 56 |
factory = "parser"
|
| 70 |
nO = null
|
| 71 |
|
| 72 |
[components.parser.model.tok2vec]
|
| 73 |
+
@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
|
| 74 |
+
width = ${components.transformer.model.hidden_width}
|
| 75 |
upstream = "transformer"
|
| 76 |
pooling = {"@layers":"reduce_mean.v1"}
|
| 77 |
+
grad_factor = 1.0
|
| 78 |
|
| 79 |
[components.transformer]
|
| 80 |
+
factory = "curated_transformer"
|
| 81 |
+
all_layer_outputs = false
|
| 82 |
+
frozen = false
|
| 83 |
|
| 84 |
[components.transformer.model]
|
| 85 |
+
@architectures = "spacy-curated-transformers.BertTransformer.v1"
|
| 86 |
+
vocab_size = 31002
|
| 87 |
+
hidden_width = 768
|
| 88 |
+
piece_encoder = {"@architectures":"spacy-curated-transformers.BertWordpieceEncoder.v1"}
|
| 89 |
+
attention_probs_dropout_prob = 0.1
|
| 90 |
+
hidden_act = "gelu"
|
| 91 |
+
hidden_dropout_prob = 0.1
|
| 92 |
+
intermediate_width = 3072
|
| 93 |
+
layer_norm_eps = 0.0
|
| 94 |
+
max_position_embeddings = 512
|
| 95 |
+
model_max_length = 512
|
| 96 |
+
num_attention_heads = 12
|
| 97 |
+
num_hidden_layers = 12
|
| 98 |
+
padding_idx = 0
|
| 99 |
+
type_vocab_size = 2
|
| 100 |
+
torchscript = false
|
| 101 |
mixed_precision = false
|
| 102 |
+
wrapped_listener = null
|
|
|
|
|
|
|
|
|
|
|
|
|
| 103 |
|
| 104 |
[components.transformer.model.grad_scaler_config]
|
| 105 |
|
| 106 |
+
[components.transformer.model.with_spans]
|
| 107 |
+
@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
|
| 108 |
+
stride = 112
|
| 109 |
+
window = 158
|
| 110 |
+
batch_size = 384
|
| 111 |
|
| 112 |
[corpora]
|
| 113 |
|
| 144 |
before_update = null
|
| 145 |
|
| 146 |
[training.batcher]
|
| 147 |
+
@batchers = "spacy.batch_by_words.v1"
|
| 148 |
+
discard_oversize = false
|
|
|
|
| 149 |
size = 2000
|
| 150 |
+
tolerance = 0.2
|
| 151 |
+
get_length = null
|
| 152 |
|
| 153 |
[training.logger]
|
| 154 |
@loggers = "spacy.ConsoleLogger.v1"
|
| 211 |
path = "corpus/labels/parser.json"
|
| 212 |
require = false
|
| 213 |
|
| 214 |
+
[initialize.components.transformer]
|
| 215 |
+
|
| 216 |
+
[initialize.components.transformer.encoder_loader]
|
| 217 |
+
@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
|
| 218 |
+
name = "dccuchile/bert-base-spanish-wwm-cased"
|
| 219 |
+
revision = "main"
|
| 220 |
+
|
| 221 |
+
[initialize.components.transformer.piecer_loader]
|
| 222 |
+
@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
|
| 223 |
+
name = "dccuchile/bert-base-spanish-wwm-cased"
|
| 224 |
+
revision = "main"
|
| 225 |
+
|
| 226 |
[initialize.lookups]
|
| 227 |
@misc = "spacy.LookupsDataLoader.v1"
|
| 228 |
lang = ${nlp.lang}
|
es_dep_news_trf-any-py3-none-any.whl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:03117d52d9077a5af65a8163b419fb94569e2048039bdbacd6484b27bfcbd272
|
| 3 |
+
size 407804601
|
lemmatizer/lookups/lookups.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
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