upload_a0f1a64
#1
by
mattlev
- opened
This view is limited to 50 files because it contains too many changes.
See the raw diff here.
- best/config.json +41 -0
- best/model.safetensors +3 -0
- best/optimizer.pt +3 -0
- {results/in-domain → best}/results.txt +3 -3
- best/rng_state.pth +3 -0
- best/scheduler.pt +3 -0
- best/trainer_state.json +102 -0
- best/training_args.bin +3 -0
- config/config.json +32 -0
- eval.txt +6 -0
- logs/best_model.ca.txt +6 -0
- logs/best_model.en.txt +6 -0
- logs/best_model.es.txt +6 -0
- logs/best_model.fr.txt +6 -0
- logs/best_model.it.txt +6 -0
- logs/best_model.la.txt +6 -0
- logs/best_model.pt.txt +6 -0
- results/out-of-domain/other_langs/results.txt → logs/best_model.txt +3 -3
- results/out-of-domain/HTR/resultats_ambiguite_la.txt → logs/resultats_ambiguite_ca.txt +86 -70
- results/out-of-domain/HTR/resultats_ambiguite_fr.txt → logs/resultats_ambiguite_en.txt +73 -73
- results/in-domain/resultats_ambiguite_pt.txt → logs/resultats_ambiguite_es.txt +164 -156
- {results/in-domain → logs}/resultats_ambiguite_fr.txt +111 -119
- {results/in-domain → logs}/resultats_ambiguite_it.txt +72 -96
- results/out-of-domain/other_langs/resultats_ambiguite_ca.txt → logs/resultats_ambiguite_la.txt +144 -120
- results/in-domain/resultats_ambiguite_ca.txt → logs/resultats_ambiguite_pt.txt +94 -110
- metrics.json +1 -0
- model.safetensors +1 -1
- model_name +1 -0
- optimizer.pt +2 -2
- results/out-of-domain/HTR/results.txt → results.txt +3 -3
- results/in-domain/best_model.ca.txt +0 -12
- results/in-domain/best_model.en.txt +0 -12
- results/in-domain/best_model.es.txt +0 -12
- results/in-domain/best_model.fr.txt +0 -12
- results/in-domain/best_model.it.txt +0 -12
- results/in-domain/best_model.la.txt +0 -12
- results/in-domain/best_model.pt.txt +0 -12
- results/in-domain/resultats_ambiguite_en.txt +0 -218
- results/in-domain/resultats_ambiguite_es.txt +0 -386
- results/in-domain/resultats_ambiguite_la.txt +0 -546
- results/out-of-domain/HTR/best_model.ca.txt +0 -12
- results/out-of-domain/HTR/best_model.es.txt +0 -12
- results/out-of-domain/HTR/best_model.fr.txt +0 -12
- results/out-of-domain/HTR/best_model.la.txt +0 -12
- results/out-of-domain/HTR/resultats_ambiguite_ca.txt +0 -98
- results/out-of-domain/HTR/resultats_ambiguite_es.txt +0 -66
- results/out-of-domain/other_langs/best_model.ca.txt +0 -12
- rng_state.pth +2 -2
- scheduler.pt +2 -2
- trainer_state.json +74 -41
best/config.json
ADDED
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{
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"_name_or_path": "google-bert/bert-base-multilingual-cased",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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| 28 |
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"num_hidden_layers": 12,
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| 29 |
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.48.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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}
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best/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:69c7c88ba1938ea304008c4fb9c1fad8c1253a9b89881a23dd647956d01b5967
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size 709083980
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best/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:01ecfaf470ba0fe1e5e0b2cfefe3f71753eb891306a8e426e4256b61f1df412b
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size 1418286549
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{results/in-domain → best}/results.txt
RENAMED
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Best model on test data
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| | Segment Content | Segment Boundary |
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|-----------+-------------------+--------------------|
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| Precision | 0.
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| Recall | 0.
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| F1 | 0.
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Best model on test data
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| | Segment Content | Segment Boundary |
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|-----------+-------------------+--------------------|
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| Precision | 0.978927 | 0.873686 |
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| Recall | 0.977169 | 0.882456 |
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| F1 | 0.978047 | 0.878049 |
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best/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d259b007db381a392ddd586b6f060cd4dc15762155e80e2e58078032fef539a
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size 14565
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best/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d77b0d90e371c14ee99e135916b64b3e1e6552a92144e61cddbdb615db8cdacc
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size 1453
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best/trainer_state.json
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{
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"best_metric": 0.014524628408253193,
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"best_model_checkpoint": "/projects/users/mgillele/trash/test_segmenter/2025-10-19T11:53:45.914349_entra\u00eenement_a0f1a64_v2/models/checkpoint-498",
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"epoch": 2.0,
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"eval_steps": 500,
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"global_step": 498,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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"loss": 0.0363,
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"step": 249
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{
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"epoch": 1.0,
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"eval_accuracy": {
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"accuracy": 0.9735907185878042
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},
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"eval_f1": [
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"eval_loss": 0.01460354682058096,
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"eval_precision": [
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],
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"eval_recall": [
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"eval_runtime": 4.2136,
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"eval_samples_per_second": 236.138,
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"eval_steps_per_second": 3.797,
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"step": 249
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{
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"epoch": 2.0,
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"learning_rate": 4.666666666666667e-05,
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"loss": 0.012,
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"step": 498
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{
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"epoch": 2.0,
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"eval_accuracy": {
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"accuracy": 0.9743262371978129
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"eval_f1": [
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"eval_loss": 0.014524628408253193,
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"eval_precision": [
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"eval_recall": [
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"step": 498
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}
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],
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"logging_steps": 500,
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"max_steps": 7470,
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| 74 |
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"num_input_tokens_seen": 0,
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"num_train_epochs": 30,
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| 76 |
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"save_steps": 500,
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| 77 |
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"stateful_callbacks": {
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| 78 |
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"EarlyStoppingCallback": {
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| 79 |
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"args": {
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"early_stopping_patience": 10,
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"early_stopping_threshold": 0.0
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},
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"attributes": {
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"early_stopping_patience_counter": 0
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}
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},
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"TrainerControl": {
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| 88 |
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"args": {
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| 89 |
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"should_epoch_stop": false,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop": false
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},
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"attributes": {}
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}
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},
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"total_flos": 5721993434919168.0,
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"train_batch_size": 64,
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"trial_name": null,
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"trial_params": null
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}
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best/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5763725c515a937150f79fea1f991ee3aa99eeccb0bf79fe7c648e4d071573f
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size 5869
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config/config.json
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{
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"global": {
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"train": "/projects/users/mgillele/multilingual-segmentation-dataset/data/training_data/segmented/split/multilingual/train.json",
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"test": "/projects/users/mgillele/multilingual-segmentation-dataset/data/training_data/segmented/split/multilingual/test.json",
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"dev": "/projects/users/mgillele/multilingual-segmentation-dataset/data/training_data/segmented/split/multilingual/dev.json",
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"import": "/projects/users/mgillele/Aquilign",
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"base_model_name": "google-bert/bert-base-multilingual-cased",
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"out_dir": "/projects/users/mgillele/trash/test_segmenter",
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"device": "cuda:0",
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"data_augmentation": true,
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"freeze_embeddings": false,
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"emb_dim": 300,
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"freeze_lang_embeddings": false,
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"linear_layers": 3,
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"linear_layers_hidden_size": 128,
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"balance_class_weights": false,
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"include_lang_metadata": false,
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"lang_emb_dim": 32,
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"epochs": 30,
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"use_pretrained_embeddings": true,
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"use_bert_tokenizer": true,
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"lr": 1e-05,
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"workers": 8,
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"batch_size": 64,
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"eval_batch_size": 64,
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"segments_max_length": 18,
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"model_path": "models/best/best.pt"
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},
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"architecture": {
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"name": "BERT"
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}
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}
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eval.txt
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| | Synt (None, Delim.) | Bert (None, Delim., Pad.) |
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|-----------+------------------------------------------------+-----------------------------------------------|
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| Accuracy | 0.976800588896207 | 0.9932784225057487 |
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| Precision | [0.9004062759534017, 0.6344567522979024, 1.0] | [0.9817984308992155, 0.8651105984529787, 1.0] |
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| Recall | [0.9627745109804392, 0.3776125683826624, 1.0] | [0.9761430457218289, 0.8942348155421518, 1.0] |
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| F1-score | [0.9305465342859794, 0.47344354555047485, 1.0] | [0.9789625707064629, 0.8794316457442406, 1.0] |
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logs/best_model.ca.txt
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Best model on test data for ca:
|
| 2 |
+
| | Segment Content | Segment Boundary |
|
| 3 |
+
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.985556 | 0.863366 |
|
| 5 |
+
| Recall | 0.986337 | 0.856582 |
|
| 6 |
+
| F1 | 0.985946 | 0.859961 |
|
logs/best_model.en.txt
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Best model on test data for en:
|
| 2 |
+
| | Segment Content | Segment Boundary |
|
| 3 |
+
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.980357 | 0.843931 |
|
| 5 |
+
| Recall | 0.979091 | 0.85214 |
|
| 6 |
+
| F1 | 0.979724 | 0.848015 |
|
logs/best_model.es.txt
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Best model on test data for es:
|
| 2 |
+
| | Segment Content | Segment Boundary |
|
| 3 |
+
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.981673 | 0.870741 |
|
| 5 |
+
| Recall | 0.981948 | 0.869 |
|
| 6 |
+
| F1 | 0.981811 | 0.86987 |
|
logs/best_model.fr.txt
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Best model on test data for fr:
|
| 2 |
+
| | Segment Content | Segment Boundary |
|
| 3 |
+
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.994157 | 0.920113 |
|
| 5 |
+
| Recall | 0.991603 | 0.94316 |
|
| 6 |
+
| F1 | 0.992878 | 0.931494 |
|
logs/best_model.it.txt
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Best model on test data for it:
|
| 2 |
+
| | Segment Content | Segment Boundary |
|
| 3 |
+
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.986436 | 0.862772 |
|
| 5 |
+
| Recall | 0.985592 | 0.869863 |
|
| 6 |
+
| F1 | 0.986014 | 0.866303 |
|
logs/best_model.la.txt
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Best model on test data for la:
|
| 2 |
+
| | Segment Content | Segment Boundary |
|
| 3 |
+
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.987503 | 0.846517 |
|
| 5 |
+
| Recall | 0.982618 | 0.885185 |
|
| 6 |
+
| F1 | 0.985055 | 0.865419 |
|
logs/best_model.pt.txt
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Best model on test data for pt:
|
| 2 |
+
| | Segment Content | Segment Boundary |
|
| 3 |
+
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.984846 | 0.906298 |
|
| 5 |
+
| Recall | 0.989078 | 0.874074 |
|
| 6 |
+
| F1 | 0.986957 | 0.889894 |
|
results/out-of-domain/other_langs/results.txt → logs/best_model.txt
RENAMED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
Best model on test data
|
| 2 |
| | Segment Content | Segment Boundary |
|
| 3 |
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.
|
| 5 |
-
| Recall | 0.
|
| 6 |
-
| F1 | 0.
|
|
|
|
| 1 |
Best model on test data
|
| 2 |
| | Segment Content | Segment Boundary |
|
| 3 |
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.99073 | 0.884803 |
|
| 5 |
+
| Recall | 0.986411 | 0.91858 |
|
| 6 |
+
| F1 | 0.988566 | 0.901375 |
|
results/out-of-domain/HTR/resultats_ambiguite_la.txt → logs/resultats_ambiguite_ca.txt
RENAMED
|
@@ -1,126 +1,126 @@
|
|
| 1 |
-
Mean accuracy: 0.
|
| 2 |
|
| 3 |
-
Results for
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.
|
| 7 |
-
| Recall | 0.
|
| 8 |
-
| F1 | 0.
|
| 9 |
|
| 10 |
|
| 11 |
-
Results for
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision |
|
| 15 |
-
| Recall |
|
| 16 |
-
| F1 |
|
| 17 |
|
| 18 |
|
| 19 |
-
Results for
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.
|
| 23 |
-
| Recall | 0.
|
| 24 |
-
| F1 | 0.
|
| 25 |
|
| 26 |
|
| 27 |
-
Results for
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision |
|
| 31 |
-
| Recall |
|
| 32 |
-
| F1 |
|
| 33 |
|
| 34 |
|
| 35 |
-
Results for
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.
|
| 39 |
-
| Recall | 0.
|
| 40 |
-
| F1 | 0.
|
| 41 |
|
| 42 |
|
| 43 |
-
Results for
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision |
|
| 47 |
-
| Recall | 0.
|
| 48 |
-
| F1 | 0.
|
| 49 |
|
| 50 |
|
| 51 |
-
Results for
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision |
|
| 55 |
-
| Recall | 0.
|
| 56 |
-
| F1 | 0.
|
| 57 |
|
| 58 |
|
| 59 |
-
Results for
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision |
|
| 63 |
-
| Recall |
|
| 64 |
-
| F1 |
|
| 65 |
|
| 66 |
|
| 67 |
-
Results for
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision |
|
| 71 |
-
| Recall | 0.
|
| 72 |
-
| F1 | 0.
|
| 73 |
|
| 74 |
|
| 75 |
-
Results for
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 1 | 0.
|
| 79 |
-
| Recall | 0.
|
| 80 |
-
| F1 | 0.
|
| 81 |
|
| 82 |
|
| 83 |
-
Results for
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.
|
| 87 |
-
| Recall | 0.
|
| 88 |
-
| F1 | 0.
|
| 89 |
|
| 90 |
|
| 91 |
-
Results for
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision |
|
| 95 |
-
| Recall | 0.
|
| 96 |
-
| F1 | 0.
|
| 97 |
|
| 98 |
|
| 99 |
-
Results for
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 1 |
|
| 103 |
-
| Recall | 0.
|
| 104 |
-
| F1 | 0.
|
| 105 |
|
| 106 |
|
| 107 |
-
Results for
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision |
|
| 111 |
-
| Recall |
|
| 112 |
-
| F1 |
|
| 113 |
|
| 114 |
|
| 115 |
-
Results for
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision |
|
| 119 |
-
| Recall |
|
| 120 |
-
| F1 |
|
| 121 |
|
| 122 |
|
| 123 |
-
Results for
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
| Precision | 1 | 1 |
|
|
@@ -128,12 +128,12 @@ Results for quo: accuracy 1.0
|
|
| 128 |
| F1 | 1 | 1 |
|
| 129 |
|
| 130 |
|
| 131 |
-
Results for
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision |
|
| 135 |
-
| Recall | 0.
|
| 136 |
-
| F1 | 0.
|
| 137 |
|
| 138 |
|
| 139 |
Results for si: accuracy 1.0
|
|
@@ -144,11 +144,27 @@ Results for si: accuracy 1.0
|
|
| 144 |
| F1 | 1 | 1 |
|
| 145 |
|
| 146 |
|
| 147 |
-
Results for
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision |
|
| 151 |
-
| Recall |
|
| 152 |
-
| F1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 153 |
|
| 154 |
|
|
|
|
| 1 |
+
Mean accuracy: 0.9171884745092317.
|
| 2 |
|
| 3 |
+
Results for que: accuracy 0.8761061946902655
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
+
| Precision | 0.894737 | 0.857143 |
|
| 7 |
+
| Recall | 0.864407 | 0.888889 |
|
| 8 |
+
| F1 | 0.87931 | 0.872727 |
|
| 9 |
|
| 10 |
|
| 11 |
+
Results for e: accuracy 0.8957055214723927
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
+
| Precision | 0.855263 | 0.931034 |
|
| 15 |
+
| Recall | 0.915493 | 0.880435 |
|
| 16 |
+
| F1 | 0.884354 | 0.905028 |
|
| 17 |
|
| 18 |
|
| 19 |
+
Results for per: accuracy 0.9473684210526315
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
+
| Precision | 0.942029 | 0.961538 |
|
| 23 |
+
| Recall | 0.984848 | 0.862069 |
|
| 24 |
+
| F1 | 0.962963 | 0.909091 |
|
| 25 |
|
| 26 |
|
| 27 |
+
Results for cor: accuracy 1.0
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
+
| Precision | 1 | 1 |
|
| 31 |
+
| Recall | 1 | 1 |
|
| 32 |
+
| F1 | 1 | 1 |
|
| 33 |
|
| 34 |
|
| 35 |
+
Results for de: accuracy 0.9661016949152542
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
+
| Precision | 0.982301 | 0.6 |
|
| 39 |
+
| Recall | 0.982301 | 0.6 |
|
| 40 |
+
| F1 | 0.982301 | 0.6 |
|
| 41 |
|
| 42 |
|
| 43 |
+
Results for qui: accuracy 0.9090909090909091
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
+
| Precision | 0.833333 | 0.952381 |
|
| 47 |
+
| Recall | 0.909091 | 0.909091 |
|
| 48 |
+
| F1 | 0.869565 | 0.930233 |
|
| 49 |
|
| 50 |
|
| 51 |
+
Results for &: accuracy 0.6470588235294118
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
+
| Precision | 0.5 | 0.777778 |
|
| 55 |
+
| Recall | 0.666667 | 0.636364 |
|
| 56 |
+
| F1 | 0.571429 | 0.7 |
|
| 57 |
|
| 58 |
|
| 59 |
+
Results for en: accuracy 0.8904109589041096
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
+
| Precision | 0.9375 | 0.555556 |
|
| 63 |
+
| Recall | 0.9375 | 0.555556 |
|
| 64 |
+
| F1 | 0.9375 | 0.555556 |
|
| 65 |
|
| 66 |
|
| 67 |
+
Results for a: accuracy 0.95
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
+
| Precision | 0.973333 | 0.6 |
|
| 71 |
+
| Recall | 0.973333 | 0.6 |
|
| 72 |
+
| F1 | 0.973333 | 0.6 |
|
| 73 |
|
| 74 |
|
| 75 |
+
Results for lo: accuracy 0.9814814814814815
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
+
| Precision | 1 | 0.666667 |
|
| 79 |
+
| Recall | 0.980769 | 1 |
|
| 80 |
+
| F1 | 0.990291 | 0.8 |
|
| 81 |
|
| 82 |
|
| 83 |
+
Results for no: accuracy 0.9318181818181818
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
+
| Precision | 0.974359 | 0.6 |
|
| 87 |
+
| Recall | 0.95 | 0.75 |
|
| 88 |
+
| F1 | 0.962025 | 0.666667 |
|
| 89 |
|
| 90 |
|
| 91 |
+
Results for con: accuracy 0.9047619047619048
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
+
| Precision | 1 | 0.714286 |
|
| 95 |
+
| Recall | 0.875 | 1 |
|
| 96 |
+
| F1 | 0.933333 | 0.833333 |
|
| 97 |
|
| 98 |
|
| 99 |
+
Results for ne: accuracy 0.8695652173913043
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
+
| Precision | 1 | 0.571429 |
|
| 103 |
+
| Recall | 0.842105 | 1 |
|
| 104 |
+
| F1 | 0.914286 | 0.727273 |
|
| 105 |
|
| 106 |
|
| 107 |
+
Results for E: accuracy 0.9230769230769231
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
+
| Precision | 0 | 1 |
|
| 111 |
+
| Recall | 0 | 0.923077 |
|
| 112 |
+
| F1 | 0 | 0.96 |
|
| 113 |
|
| 114 |
|
| 115 |
+
Results for los: accuracy 0.9722222222222222
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
+
| Precision | 1 | 0.666667 |
|
| 119 |
+
| Recall | 0.970588 | 1 |
|
| 120 |
+
| F1 | 0.985075 | 0.8 |
|
| 121 |
|
| 122 |
|
| 123 |
+
Results for so: accuracy 1.0
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
| Precision | 1 | 1 |
|
|
|
|
| 128 |
| F1 | 1 | 1 |
|
| 129 |
|
| 130 |
|
| 131 |
+
Results for ab: accuracy 0.9655172413793104
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
+
| Precision | 1 | 0.75 |
|
| 135 |
+
| Recall | 0.961538 | 1 |
|
| 136 |
+
| F1 | 0.980392 | 0.857143 |
|
| 137 |
|
| 138 |
|
| 139 |
Results for si: accuracy 1.0
|
|
|
|
| 144 |
| F1 | 1 | 1 |
|
| 145 |
|
| 146 |
|
| 147 |
+
Results for De: accuracy 0.95
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
+
| Precision | 0.9375 | 1 |
|
| 151 |
+
| Recall | 1 | 0.8 |
|
| 152 |
+
| F1 | 0.967742 | 0.888889 |
|
| 153 |
+
|
| 154 |
+
|
| 155 |
+
Results for fil: accuracy 0.8235294117647058
|
| 156 |
+
| | Segment Content | Segment Boundary |
|
| 157 |
+
|-----------+-------------------+--------------------|
|
| 158 |
+
| Precision | 1 | 0 |
|
| 159 |
+
| Recall | 0.823529 | 0 |
|
| 160 |
+
| F1 | 0.903226 | 0 |
|
| 161 |
+
|
| 162 |
+
|
| 163 |
+
Results for se: accuracy 0.8571428571428571
|
| 164 |
+
| | Segment Content | Segment Boundary |
|
| 165 |
+
|-----------+-------------------+--------------------|
|
| 166 |
+
| Precision | 1 | 0.333333 |
|
| 167 |
+
| Recall | 0.846154 | 1 |
|
| 168 |
+
| F1 | 0.916667 | 0.5 |
|
| 169 |
|
| 170 |
|
results/out-of-domain/HTR/resultats_ambiguite_fr.txt → logs/resultats_ambiguite_en.txt
RENAMED
|
@@ -1,146 +1,146 @@
|
|
| 1 |
-
Mean accuracy: 0.
|
| 2 |
|
| 3 |
-
Results for
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision |
|
| 7 |
-
| Recall |
|
| 8 |
-
| F1 |
|
| 9 |
|
| 10 |
|
| 11 |
-
Results for
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision |
|
| 15 |
-
| Recall | 0.
|
| 16 |
-
| F1 | 0.
|
| 17 |
|
| 18 |
|
| 19 |
-
Results for
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.
|
| 23 |
-
| Recall | 0.
|
| 24 |
-
| F1 | 0.
|
| 25 |
|
| 26 |
|
| 27 |
-
Results for
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision |
|
| 31 |
-
| Recall | 0.
|
| 32 |
-
| F1 | 0.
|
| 33 |
|
| 34 |
|
| 35 |
-
Results for
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision |
|
| 39 |
-
| Recall | 0.
|
| 40 |
-
| F1 | 0.
|
| 41 |
|
| 42 |
|
| 43 |
-
Results for
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision |
|
| 47 |
-
| Recall | 0.
|
| 48 |
-
| F1 | 0.
|
| 49 |
|
| 50 |
|
| 51 |
-
Results for
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 1 | 0.
|
| 55 |
-
| Recall | 0.
|
| 56 |
-
| F1 | 0.
|
| 57 |
|
| 58 |
|
| 59 |
-
Results for
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.
|
| 63 |
-
| Recall | 0.
|
| 64 |
-
| F1 | 0.
|
| 65 |
|
| 66 |
|
| 67 |
-
Results for
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision |
|
| 71 |
-
| Recall |
|
| 72 |
-
| F1 |
|
| 73 |
|
| 74 |
|
| 75 |
-
Results for
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision |
|
| 79 |
-
| Recall | 0.
|
| 80 |
-
| F1 | 0.
|
| 81 |
|
| 82 |
|
| 83 |
-
Results for
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 1 |
|
| 87 |
-
| Recall | 0.
|
| 88 |
-
| F1 | 0.
|
| 89 |
|
| 90 |
|
| 91 |
-
Results for
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision |
|
| 95 |
-
| Recall |
|
| 96 |
-
| F1 |
|
| 97 |
|
| 98 |
|
| 99 |
-
Results for
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 1 |
|
| 103 |
-
| Recall | 0.
|
| 104 |
-
| F1 | 0.
|
| 105 |
|
| 106 |
|
| 107 |
-
Results for
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.
|
| 111 |
-
| Recall |
|
| 112 |
-
| F1 | 0.941176 | 0.
|
| 113 |
|
| 114 |
|
| 115 |
-
Results for
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 0.
|
| 119 |
-
| Recall |
|
| 120 |
-
| F1 | 0.
|
| 121 |
|
| 122 |
|
| 123 |
-
Results for
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 0.
|
| 127 |
-
| Recall |
|
| 128 |
-
| F1 | 0.
|
| 129 |
|
| 130 |
|
| 131 |
-
Results for
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision |
|
| 135 |
-
| Recall |
|
| 136 |
-
| F1 |
|
| 137 |
|
| 138 |
|
| 139 |
-
Results for
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision |
|
| 143 |
-
| Recall |
|
| 144 |
-
| F1 |
|
| 145 |
|
| 146 |
|
|
|
|
| 1 |
+
Mean accuracy: 0.883864562617454.
|
| 2 |
|
| 3 |
+
Results for that: accuracy 0.8452380952380952
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
+
| Precision | 0.72973 | 0.93617 |
|
| 7 |
+
| Recall | 0.9 | 0.814815 |
|
| 8 |
+
| F1 | 0.80597 | 0.871287 |
|
| 9 |
|
| 10 |
|
| 11 |
+
Results for and: accuracy 0.8809523809523809
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
+
| Precision | 0.744681 | 0.962025 |
|
| 15 |
+
| Recall | 0.921053 | 0.863636 |
|
| 16 |
+
| F1 | 0.823529 | 0.91018 |
|
| 17 |
|
| 18 |
|
| 19 |
+
Results for to: accuracy 0.7976190476190477
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
+
| Precision | 0.827586 | 0.730769 |
|
| 23 |
+
| Recall | 0.872727 | 0.655172 |
|
| 24 |
+
| F1 | 0.849558 | 0.690909 |
|
| 25 |
|
| 26 |
|
| 27 |
+
Results for of: accuracy 0.8823529411764706
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
+
| Precision | 0.929412 | 0.647059 |
|
| 31 |
+
| Recall | 0.929412 | 0.647059 |
|
| 32 |
+
| F1 | 0.929412 | 0.647059 |
|
| 33 |
|
| 34 |
|
| 35 |
+
Results for as: accuracy 0.875
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
+
| Precision | 0.923077 | 0.818182 |
|
| 39 |
+
| Recall | 0.857143 | 0.9 |
|
| 40 |
+
| F1 | 0.888889 | 0.857143 |
|
| 41 |
|
| 42 |
|
| 43 |
+
Results for þ: accuracy 0.9318181818181818
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
+
| Precision | 0.974026 | 0.636364 |
|
| 47 |
+
| Recall | 0.949367 | 0.777778 |
|
| 48 |
+
| F1 | 0.961538 | 0.7 |
|
| 49 |
|
| 50 |
|
| 51 |
+
Results for w: accuracy 0.9565217391304348
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
+
| Precision | 1 | 0.9 |
|
| 55 |
+
| Recall | 0.928571 | 1 |
|
| 56 |
+
| F1 | 0.962963 | 0.947368 |
|
| 57 |
|
| 58 |
|
| 59 |
+
Results for in: accuracy 0.7446808510638298
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
+
| Precision | 0.878788 | 0.428571 |
|
| 63 |
+
| Recall | 0.783784 | 0.6 |
|
| 64 |
+
| F1 | 0.828571 | 0.5 |
|
| 65 |
|
| 66 |
|
| 67 |
+
Results for he: accuracy 1.0
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
+
| Precision | 1 | 1 |
|
| 71 |
+
| Recall | 1 | 1 |
|
| 72 |
+
| F1 | 1 | 1 |
|
| 73 |
|
| 74 |
|
| 75 |
+
Results for is: accuracy 0.8181818181818182
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
+
| Precision | 0.92 | 0.5 |
|
| 79 |
+
| Recall | 0.851852 | 0.666667 |
|
| 80 |
+
| F1 | 0.884615 | 0.571429 |
|
| 81 |
|
| 82 |
|
| 83 |
+
Results for I: accuracy 0.9333333333333333
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
+
| Precision | 0.833333 | 1 |
|
| 87 |
+
| Recall | 1 | 0.9 |
|
| 88 |
+
| F1 | 0.909091 | 0.947368 |
|
| 89 |
|
| 90 |
|
| 91 |
+
Results for for: accuracy 0.9333333333333333
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
+
| Precision | 0.8 | 0.96 |
|
| 95 |
+
| Recall | 0.8 | 0.96 |
|
| 96 |
+
| F1 | 0.8 | 0.96 |
|
| 97 |
|
| 98 |
|
| 99 |
+
Results for men: accuracy 0.8947368421052632
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
+
| Precision | 1 | 0.666667 |
|
| 103 |
+
| Recall | 0.866667 | 1 |
|
| 104 |
+
| F1 | 0.928571 | 0.8 |
|
| 105 |
|
| 106 |
|
| 107 |
+
Results for by: accuracy 0.9230769230769231
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
+
| Precision | 1 | 0.8 |
|
| 111 |
+
| Recall | 0.888889 | 1 |
|
| 112 |
+
| F1 | 0.941176 | 0.888889 |
|
| 113 |
|
| 114 |
|
| 115 |
+
Results for was: accuracy 0.8
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
+
| Precision | 0.933333 | 0.4 |
|
| 119 |
+
| Recall | 0.823529 | 0.666667 |
|
| 120 |
+
| F1 | 0.875 | 0.5 |
|
| 121 |
|
| 122 |
|
| 123 |
+
Results for Y: accuracy 0.8888888888888888
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
+
| Precision | 1 | 0.8 |
|
| 127 |
+
| Recall | 0.8 | 1 |
|
| 128 |
+
| F1 | 0.888889 | 0.888889 |
|
| 129 |
|
| 130 |
|
| 131 |
+
Results for s: accuracy 0.8947368421052632
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
+
| Precision | 0.9375 | 0.666667 |
|
| 135 |
+
| Recall | 0.9375 | 0.666667 |
|
| 136 |
+
| F1 | 0.9375 | 0.666667 |
|
| 137 |
|
| 138 |
|
| 139 |
+
Results for alle: accuracy 0.9090909090909091
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
+
| Precision | 0.875 | 1 |
|
| 143 |
+
| Recall | 1 | 0.75 |
|
| 144 |
+
| F1 | 0.933333 | 0.857143 |
|
| 145 |
|
| 146 |
|
results/in-domain/resultats_ambiguite_pt.txt → logs/resultats_ambiguite_es.txt
RENAMED
|
@@ -1,134 +1,142 @@
|
|
| 1 |
-
Mean accuracy: 0.
|
| 2 |
|
| 3 |
-
Results for que: accuracy 0.
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.
|
| 7 |
-
| Recall | 0.
|
| 8 |
-
| F1 | 0.
|
| 9 |
|
| 10 |
|
| 11 |
-
Results for
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.
|
| 15 |
-
| Recall | 0.
|
| 16 |
-
| F1 | 0.
|
| 17 |
|
| 18 |
|
| 19 |
-
Results for
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.
|
| 23 |
-
| Recall | 0.
|
| 24 |
-
| F1 | 0.
|
| 25 |
|
| 26 |
|
| 27 |
-
Results for
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.
|
| 31 |
-
| Recall | 0.
|
| 32 |
-
| F1 | 0.
|
| 33 |
|
| 34 |
|
| 35 |
-
Results for
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.
|
| 39 |
-
| Recall | 0.
|
| 40 |
-
| F1 | 0.
|
| 41 |
|
| 42 |
|
| 43 |
-
Results for
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
| Precision | 0.9375 | 0.916667 |
|
| 47 |
-
| Recall | 0.
|
| 48 |
-
| F1 | 0.
|
| 49 |
|
| 50 |
|
| 51 |
-
Results for
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.
|
| 55 |
-
| Recall | 0.
|
| 56 |
-
| F1 | 0.
|
| 57 |
|
| 58 |
|
| 59 |
-
Results for
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision |
|
| 63 |
-
| Recall | 0.
|
| 64 |
-
| F1 | 0.
|
| 65 |
|
| 66 |
|
| 67 |
-
Results for
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision |
|
| 71 |
-
| Recall | 0.
|
| 72 |
-
| F1 | 0.
|
| 73 |
|
| 74 |
|
| 75 |
-
Results for
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.
|
| 79 |
-
| Recall | 1 | 0.
|
| 80 |
-
| F1 | 0.
|
| 81 |
|
| 82 |
|
| 83 |
-
Results for
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision |
|
| 87 |
-
| Recall |
|
| 88 |
-
| F1 |
|
| 89 |
|
| 90 |
|
| 91 |
-
Results for
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision |
|
| 95 |
-
| Recall | 0.
|
| 96 |
-
| F1 | 0.
|
| 97 |
|
| 98 |
|
| 99 |
-
Results for
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision |
|
| 103 |
-
| Recall |
|
| 104 |
-
| F1 |
|
| 105 |
|
| 106 |
|
| 107 |
-
Results for
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.
|
| 111 |
-
| Recall | 0.
|
| 112 |
-
| F1 | 0.
|
| 113 |
|
| 114 |
|
| 115 |
-
Results for
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision |
|
| 119 |
-
| Recall | 0.
|
| 120 |
-
| F1 | 0.
|
| 121 |
|
| 122 |
|
| 123 |
-
Results for
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision |
|
| 127 |
-
| Recall | 0.
|
| 128 |
-
| F1 | 0.
|
| 129 |
|
| 130 |
|
| 131 |
-
Results for
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
| Precision | 1 | 1 |
|
|
@@ -136,103 +144,103 @@ Results for os: accuracy 1.0
|
|
| 136 |
| F1 | 1 | 1 |
|
| 137 |
|
| 138 |
|
| 139 |
-
Results for
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 0.
|
| 143 |
-
| Recall | 0.
|
| 144 |
-
| F1 | 0.
|
| 145 |
|
| 146 |
|
| 147 |
-
Results for
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 1 | 0.
|
| 151 |
-
| Recall | 0.
|
| 152 |
-
| F1 | 0.
|
| 153 |
|
| 154 |
|
| 155 |
-
Results for
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision |
|
| 159 |
-
| Recall |
|
| 160 |
-
| F1 |
|
| 161 |
|
| 162 |
|
| 163 |
-
Results for
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision |
|
| 167 |
-
| Recall | 0.
|
| 168 |
-
| F1 | 0.
|
| 169 |
|
| 170 |
|
| 171 |
-
Results for
|
| 172 |
| | Segment Content | Segment Boundary |
|
| 173 |
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision |
|
| 175 |
-
| Recall |
|
| 176 |
-
| F1 |
|
| 177 |
|
| 178 |
|
| 179 |
-
Results for
|
| 180 |
| | Segment Content | Segment Boundary |
|
| 181 |
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 0.
|
| 183 |
-
| Recall |
|
| 184 |
-
| F1 | 0.
|
| 185 |
|
| 186 |
|
| 187 |
-
Results for
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 0.
|
| 191 |
-
| Recall |
|
| 192 |
-
| F1 | 0.
|
| 193 |
|
| 194 |
|
| 195 |
-
Results for
|
| 196 |
| | Segment Content | Segment Boundary |
|
| 197 |
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 0.
|
| 199 |
-
| Recall | 0.
|
| 200 |
-
| F1 | 0.
|
| 201 |
|
| 202 |
|
| 203 |
-
Results for
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision |
|
| 207 |
-
| Recall |
|
| 208 |
-
| F1 |
|
| 209 |
|
| 210 |
|
| 211 |
-
Results for
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision |
|
| 215 |
-
| Recall |
|
| 216 |
-
| F1 |
|
| 217 |
|
| 218 |
|
| 219 |
-
Results for
|
| 220 |
| | Segment Content | Segment Boundary |
|
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|-----------+-------------------+--------------------|
|
| 222 |
-
| Precision | 0.
|
| 223 |
-
| Recall | 1 |
|
| 224 |
-
| F1 | 0.
|
| 225 |
|
| 226 |
|
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-
Results for
|
| 228 |
| | Segment Content | Segment Boundary |
|
| 229 |
|-----------+-------------------+--------------------|
|
| 230 |
-
| Precision | 1 | 0.
|
| 231 |
-
| Recall | 0.
|
| 232 |
-
| F1 | 0.
|
| 233 |
|
| 234 |
|
| 235 |
-
Results for
|
| 236 |
| | Segment Content | Segment Boundary |
|
| 237 |
|-----------+-------------------+--------------------|
|
| 238 |
| Precision | 1 | 1 |
|
|
@@ -240,23 +248,31 @@ Results for quando: accuracy 1.0
|
|
| 240 |
| F1 | 1 | 1 |
|
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| 242 |
|
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-
Results for
|
| 244 |
| | Segment Content | Segment Boundary |
|
| 245 |
|-----------+-------------------+--------------------|
|
| 246 |
-
| Precision | 1 |
|
| 247 |
-
| Recall | 0.
|
| 248 |
-
| F1 | 0.
|
| 249 |
|
| 250 |
|
| 251 |
-
Results for
|
| 252 |
| | Segment Content | Segment Boundary |
|
| 253 |
|-----------+-------------------+--------------------|
|
| 254 |
-
| Precision |
|
| 255 |
-
| Recall |
|
| 256 |
-
| F1 |
|
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-
Results for
|
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|
| 260 |
| | Segment Content | Segment Boundary |
|
| 261 |
|-----------+-------------------+--------------------|
|
| 262 |
| Precision | 1 | 1 |
|
|
@@ -264,47 +280,47 @@ Results for ata: accuracy 1.0
|
|
| 264 |
| F1 | 1 | 1 |
|
| 265 |
|
| 266 |
|
| 267 |
-
Results for
|
| 268 |
| | Segment Content | Segment Boundary |
|
| 269 |
|-----------+-------------------+--------------------|
|
| 270 |
-
| Precision |
|
| 271 |
-
| Recall |
|
| 272 |
-
| F1 |
|
| 273 |
|
| 274 |
|
| 275 |
-
Results for
|
| 276 |
| | Segment Content | Segment Boundary |
|
| 277 |
|-----------+-------------------+--------------------|
|
| 278 |
| Precision | 1 | 0.666667 |
|
| 279 |
-
| Recall | 0.
|
| 280 |
-
| F1 | 0.
|
| 281 |
|
| 282 |
|
| 283 |
-
Results for
|
| 284 |
| | Segment Content | Segment Boundary |
|
| 285 |
|-----------+-------------------+--------------------|
|
| 286 |
-
| Precision |
|
| 287 |
-
| Recall |
|
| 288 |
-
| F1 |
|
| 289 |
|
| 290 |
|
| 291 |
-
Results for
|
| 292 |
| | Segment Content | Segment Boundary |
|
| 293 |
|-----------+-------------------+--------------------|
|
| 294 |
-
| Precision |
|
| 295 |
-
| Recall |
|
| 296 |
-
| F1 |
|
| 297 |
|
| 298 |
|
| 299 |
-
Results for
|
| 300 |
| | Segment Content | Segment Boundary |
|
| 301 |
|-----------+-------------------+--------------------|
|
| 302 |
-
| Precision | 0.
|
| 303 |
-
| Recall | 1 |
|
| 304 |
-
| F1 | 0.
|
| 305 |
|
| 306 |
|
| 307 |
-
Results for
|
| 308 |
| | Segment Content | Segment Boundary |
|
| 309 |
|-----------+-------------------+--------------------|
|
| 310 |
| Precision | 1 | 1 |
|
|
@@ -312,7 +328,7 @@ Results for chama: accuracy 1.0
|
|
| 312 |
| F1 | 1 | 1 |
|
| 313 |
|
| 314 |
|
| 315 |
-
Results for
|
| 316 |
| | Segment Content | Segment Boundary |
|
| 317 |
|-----------+-------------------+--------------------|
|
| 318 |
| Precision | 1 | 1 |
|
|
@@ -320,19 +336,11 @@ Results for sem: accuracy 1.0
|
|
| 320 |
| F1 | 1 | 1 |
|
| 321 |
|
| 322 |
|
| 323 |
-
Results for
|
| 324 |
| | Segment Content | Segment Boundary |
|
| 325 |
|-----------+-------------------+--------------------|
|
| 326 |
-
| Precision |
|
| 327 |
-
| Recall | 0.
|
| 328 |
-
| F1 | 0.
|
| 329 |
-
|
| 330 |
-
|
| 331 |
-
Results for cada: accuracy 1.0
|
| 332 |
-
| | Segment Content | Segment Boundary |
|
| 333 |
-
|-----------+-------------------+--------------------|
|
| 334 |
-
| Precision | 1 | 1 |
|
| 335 |
-
| Recall | 1 | 1 |
|
| 336 |
-
| F1 | 1 | 1 |
|
| 337 |
|
| 338 |
|
|
|
|
| 1 |
+
Mean accuracy: 0.9093934588166207.
|
| 2 |
|
| 3 |
+
Results for que: accuracy 0.8888888888888888
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
+
| Precision | 0.829268 | 0.919255 |
|
| 7 |
+
| Recall | 0.839506 | 0.91358 |
|
| 8 |
+
| F1 | 0.834356 | 0.916409 |
|
| 9 |
|
| 10 |
|
| 11 |
+
Results for por: accuracy 0.8809523809523809
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
+
| Precision | 0.882353 | 0.88 |
|
| 15 |
+
| Recall | 0.833333 | 0.916667 |
|
| 16 |
+
| F1 | 0.857143 | 0.897959 |
|
| 17 |
|
| 18 |
|
| 19 |
+
Results for de: accuracy 0.9141630901287554
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
+
| Precision | 0.957746 | 0.45 |
|
| 23 |
+
| Recall | 0.948837 | 0.5 |
|
| 24 |
+
| F1 | 0.953271 | 0.473684 |
|
| 25 |
|
| 26 |
|
| 27 |
+
Results for e: accuracy 0.927536231884058
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
+
| Precision | 0.90625 | 0.933962 |
|
| 31 |
+
| Recall | 0.805556 | 0.970588 |
|
| 32 |
+
| F1 | 0.852941 | 0.951923 |
|
| 33 |
|
| 34 |
|
| 35 |
+
Results for &: accuracy 0.8907563025210085
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
+
| Precision | 0.766667 | 0.932584 |
|
| 39 |
+
| Recall | 0.793103 | 0.922222 |
|
| 40 |
+
| F1 | 0.779661 | 0.927374 |
|
| 41 |
|
| 42 |
|
| 43 |
+
Results for y: accuracy 0.9074074074074074
|
| 44 |
+
| | Segment Content | Segment Boundary |
|
| 45 |
+
|-----------+-------------------+--------------------|
|
| 46 |
+
| Precision | 0.789474 | 0.971429 |
|
| 47 |
+
| Recall | 0.9375 | 0.894737 |
|
| 48 |
+
| F1 | 0.857143 | 0.931507 |
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
Results for mas: accuracy 0.925
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
| Precision | 0.9375 | 0.916667 |
|
| 55 |
+
| Recall | 0.882353 | 0.956522 |
|
| 56 |
+
| F1 | 0.909091 | 0.93617 |
|
| 57 |
|
| 58 |
|
| 59 |
+
Results for a: accuracy 0.8350515463917526
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
+
| Precision | 0.886076 | 0.611111 |
|
| 63 |
+
| Recall | 0.909091 | 0.55 |
|
| 64 |
+
| F1 | 0.897436 | 0.578947 |
|
| 65 |
|
| 66 |
|
| 67 |
+
Results for en: accuracy 0.9148936170212766
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
+
| Precision | 0.935065 | 0.823529 |
|
| 71 |
+
| Recall | 0.96 | 0.736842 |
|
| 72 |
+
| F1 | 0.947368 | 0.777778 |
|
| 73 |
|
| 74 |
|
| 75 |
+
Results for la: accuracy 0.9915966386554622
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
+
| Precision | 1 | 0.888889 |
|
| 79 |
+
| Recall | 0.990991 | 1 |
|
| 80 |
+
| F1 | 0.995475 | 0.941176 |
|
| 81 |
|
| 82 |
|
| 83 |
+
Results for el: accuracy 0.9826086956521739
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
+
| Precision | 0.981481 | 1 |
|
| 87 |
+
| Recall | 1 | 0.777778 |
|
| 88 |
+
| F1 | 0.990654 | 0.875 |
|
| 89 |
|
| 90 |
|
| 91 |
+
Results for et: accuracy 0.8157894736842105
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
+
| Precision | 0.571429 | 0.958333 |
|
| 95 |
+
| Recall | 0.888889 | 0.793103 |
|
| 96 |
+
| F1 | 0.695652 | 0.867925 |
|
| 97 |
|
| 98 |
|
| 99 |
+
Results for con: accuracy 0.9393939393939394
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
+
| Precision | 0.961538 | 0.857143 |
|
| 103 |
+
| Recall | 0.961538 | 0.857143 |
|
| 104 |
+
| F1 | 0.961538 | 0.857143 |
|
| 105 |
|
| 106 |
|
| 107 |
+
Results for ca: accuracy 1.0
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
+
| Precision | 1 | 1 |
|
| 111 |
+
| Recall | 1 | 1 |
|
| 112 |
+
| F1 | 1 | 1 |
|
| 113 |
|
| 114 |
|
| 115 |
+
Results for señor: accuracy 0.8181818181818182
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
+
| Precision | 0.846154 | 0.777778 |
|
| 119 |
+
| Recall | 0.846154 | 0.777778 |
|
| 120 |
+
| F1 | 0.846154 | 0.777778 |
|
| 121 |
|
| 122 |
|
| 123 |
+
Results for los: accuracy 0.9459459459459459
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
+
| Precision | 0.971429 | 0.5 |
|
| 127 |
+
| Recall | 0.971429 | 0.5 |
|
| 128 |
+
| F1 | 0.971429 | 0.5 |
|
| 129 |
|
| 130 |
|
| 131 |
+
Results for dixo: accuracy 0.775
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
+
| Precision | 0.758621 | 0.818182 |
|
| 135 |
+
| Recall | 0.916667 | 0.5625 |
|
| 136 |
+
| F1 | 0.830189 | 0.666667 |
|
| 137 |
|
| 138 |
|
| 139 |
+
Results for si: accuracy 1.0
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
| Precision | 1 | 1 |
|
|
|
|
| 144 |
| F1 | 1 | 1 |
|
| 145 |
|
| 146 |
|
| 147 |
+
Results for no: accuracy 0.9019607843137255
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
+
| Precision | 0.913043 | 0.8 |
|
| 151 |
+
| Recall | 0.976744 | 0.5 |
|
| 152 |
+
| F1 | 0.94382 | 0.615385 |
|
| 153 |
|
| 154 |
|
| 155 |
+
Results for como: accuracy 0.92
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
+
| Precision | 1 | 0.75 |
|
| 159 |
+
| Recall | 0.894737 | 1 |
|
| 160 |
+
| F1 | 0.944444 | 0.857143 |
|
| 161 |
|
| 162 |
|
| 163 |
+
Results for lo: accuracy 0.9361702127659575
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
+
| Precision | 0.953488 | 0.75 |
|
| 167 |
+
| Recall | 0.97619 | 0.6 |
|
| 168 |
+
| F1 | 0.964706 | 0.666667 |
|
| 169 |
|
| 170 |
|
| 171 |
+
Results for yo: accuracy 0.972972972972973
|
| 172 |
| | Segment Content | Segment Boundary |
|
| 173 |
|-----------+-------------------+--------------------|
|
| 174 |
+
| Precision | 0.967742 | 1 |
|
| 175 |
+
| Recall | 1 | 0.857143 |
|
| 176 |
+
| F1 | 0.983607 | 0.923077 |
|
| 177 |
|
| 178 |
|
| 179 |
+
Results for segun: accuracy 0.8
|
| 180 |
| | Segment Content | Segment Boundary |
|
| 181 |
|-----------+-------------------+--------------------|
|
| 182 |
+
| Precision | 0.8 | 0.8 |
|
| 183 |
+
| Recall | 0.8 | 0.8 |
|
| 184 |
+
| F1 | 0.8 | 0.8 |
|
| 185 |
|
| 186 |
|
| 187 |
+
Results for se: accuracy 0.9736842105263158
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
+
| Precision | 0.970588 | 1 |
|
| 191 |
+
| Recall | 1 | 0.8 |
|
| 192 |
+
| F1 | 0.985075 | 0.888889 |
|
| 193 |
|
| 194 |
|
| 195 |
+
Results for non: accuracy 0.9655172413793104
|
| 196 |
| | Segment Content | Segment Boundary |
|
| 197 |
|-----------+-------------------+--------------------|
|
| 198 |
+
| Precision | 0.958333 | 1 |
|
| 199 |
+
| Recall | 1 | 0.833333 |
|
| 200 |
+
| F1 | 0.978723 | 0.909091 |
|
| 201 |
|
| 202 |
|
| 203 |
+
Results for muy: accuracy 0.8571428571428571
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
+
| Precision | 0.96 | 0 |
|
| 207 |
+
| Recall | 0.888889 | 0 |
|
| 208 |
+
| F1 | 0.923077 | 0 |
|
| 209 |
|
| 210 |
|
| 211 |
+
Results for des: accuracy 1.0
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
+
| Precision | 1 | 1 |
|
| 215 |
+
| Recall | 1 | 1 |
|
| 216 |
+
| F1 | 1 | 1 |
|
| 217 |
|
| 218 |
|
| 219 |
+
Results for sobre: accuracy 1.0
|
| 220 |
| | Segment Content | Segment Boundary |
|
| 221 |
|-----------+-------------------+--------------------|
|
| 222 |
+
| Precision | 1 | 1 |
|
| 223 |
+
| Recall | 1 | 1 |
|
| 224 |
+
| F1 | 1 | 1 |
|
| 225 |
|
| 226 |
|
| 227 |
+
Results for ass: accuracy 0.9
|
| 228 |
| | Segment Content | Segment Boundary |
|
| 229 |
|-----------+-------------------+--------------------|
|
| 230 |
+
| Precision | 1 | 0.75 |
|
| 231 |
+
| Recall | 0.857143 | 1 |
|
| 232 |
+
| F1 | 0.923077 | 0.857143 |
|
| 233 |
|
| 234 |
|
| 235 |
+
Results for quando: accuracy 0.9090909090909091
|
| 236 |
| | Segment Content | Segment Boundary |
|
| 237 |
|-----------+-------------------+--------------------|
|
| 238 |
+
| Precision | 1 | 0.75 |
|
| 239 |
+
| Recall | 0.875 | 1 |
|
| 240 |
+
| F1 | 0.933333 | 0.857143 |
|
| 241 |
|
| 242 |
|
| 243 |
+
Results for todo: accuracy 1.0
|
| 244 |
| | Segment Content | Segment Boundary |
|
| 245 |
|-----------+-------------------+--------------------|
|
| 246 |
| Precision | 1 | 1 |
|
|
|
|
| 248 |
| F1 | 1 | 1 |
|
| 249 |
|
| 250 |
|
| 251 |
+
Results for nin: accuracy 0.9166666666666666
|
| 252 |
| | Segment Content | Segment Boundary |
|
| 253 |
|-----------+-------------------+--------------------|
|
| 254 |
+
| Precision | 1 | 0.875 |
|
| 255 |
+
| Recall | 0.8 | 1 |
|
| 256 |
+
| F1 | 0.888889 | 0.933333 |
|
| 257 |
|
| 258 |
|
| 259 |
+
Results for qui: accuracy 0.8888888888888888
|
| 260 |
| | Segment Content | Segment Boundary |
|
| 261 |
|-----------+-------------------+--------------------|
|
| 262 |
+
| Precision | 0.866667 | 1 |
|
| 263 |
+
| Recall | 1 | 0.6 |
|
| 264 |
+
| F1 | 0.928571 | 0.75 |
|
| 265 |
|
| 266 |
|
| 267 |
+
Results for tan: accuracy 0.875
|
| 268 |
+
| | Segment Content | Segment Boundary |
|
| 269 |
+
|-----------+-------------------+--------------------|
|
| 270 |
+
| Precision | 1 | 0.333333 |
|
| 271 |
+
| Recall | 0.866667 | 1 |
|
| 272 |
+
| F1 | 0.928571 | 0.5 |
|
| 273 |
+
|
| 274 |
+
|
| 275 |
+
Results for asi: accuracy 1.0
|
| 276 |
| | Segment Content | Segment Boundary |
|
| 277 |
|-----------+-------------------+--------------------|
|
| 278 |
| Precision | 1 | 1 |
|
|
|
|
| 280 |
| F1 | 1 | 1 |
|
| 281 |
|
| 282 |
|
| 283 |
+
Results for ab: accuracy 1.0
|
| 284 |
| | Segment Content | Segment Boundary |
|
| 285 |
|-----------+-------------------+--------------------|
|
| 286 |
+
| Precision | 1 | 1 |
|
| 287 |
+
| Recall | 1 | 1 |
|
| 288 |
+
| F1 | 1 | 1 |
|
| 289 |
|
| 290 |
|
| 291 |
+
Results for quien: accuracy 0.8333333333333334
|
| 292 |
| | Segment Content | Segment Boundary |
|
| 293 |
|-----------+-------------------+--------------------|
|
| 294 |
| Precision | 1 | 0.666667 |
|
| 295 |
+
| Recall | 0.75 | 1 |
|
| 296 |
+
| F1 | 0.857143 | 0.8 |
|
| 297 |
|
| 298 |
|
| 299 |
+
Results for o: accuracy 0.8181818181818182
|
| 300 |
| | Segment Content | Segment Boundary |
|
| 301 |
|-----------+-------------------+--------------------|
|
| 302 |
+
| Precision | 0.875 | 0.666667 |
|
| 303 |
+
| Recall | 0.875 | 0.666667 |
|
| 304 |
+
| F1 | 0.875 | 0.666667 |
|
| 305 |
|
| 306 |
|
| 307 |
+
Results for ala: accuracy 0.8
|
| 308 |
| | Segment Content | Segment Boundary |
|
| 309 |
|-----------+-------------------+--------------------|
|
| 310 |
+
| Precision | 1 | 0.333333 |
|
| 311 |
+
| Recall | 0.777778 | 1 |
|
| 312 |
+
| F1 | 0.875 | 0.5 |
|
| 313 |
|
| 314 |
|
| 315 |
+
Results for para: accuracy 0.8571428571428571
|
| 316 |
| | Segment Content | Segment Boundary |
|
| 317 |
|-----------+-------------------+--------------------|
|
| 318 |
+
| Precision | 1 | 0.666667 |
|
| 319 |
+
| Recall | 0.8 | 1 |
|
| 320 |
+
| F1 | 0.888889 | 0.8 |
|
| 321 |
|
| 322 |
|
| 323 |
+
Results for porque: accuracy 1.0
|
| 324 |
| | Segment Content | Segment Boundary |
|
| 325 |
|-----------+-------------------+--------------------|
|
| 326 |
| Precision | 1 | 1 |
|
|
|
|
| 328 |
| F1 | 1 | 1 |
|
| 329 |
|
| 330 |
|
| 331 |
+
Results for com: accuracy 1.0
|
| 332 |
| | Segment Content | Segment Boundary |
|
| 333 |
|-----------+-------------------+--------------------|
|
| 334 |
| Precision | 1 | 1 |
|
|
|
|
| 336 |
| F1 | 1 | 1 |
|
| 337 |
|
| 338 |
|
| 339 |
+
Results for dix: accuracy 0.625
|
| 340 |
| | Segment Content | Segment Boundary |
|
| 341 |
|-----------+-------------------+--------------------|
|
| 342 |
+
| Precision | 0.6 | 0.666667 |
|
| 343 |
+
| Recall | 0.75 | 0.5 |
|
| 344 |
+
| F1 | 0.666667 | 0.571429 |
|
|
|
|
|
|
|
|
|
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|
|
|
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|
| 345 |
|
| 346 |
|
{results/in-domain → logs}/resultats_ambiguite_fr.txt
RENAMED
|
@@ -1,59 +1,51 @@
|
|
| 1 |
-
Mean accuracy: 0.
|
| 2 |
|
| 3 |
-
Results for et: accuracy 0.
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.
|
| 7 |
-
| Recall | 0.
|
| 8 |
-
| F1 | 0.
|
| 9 |
|
| 10 |
|
| 11 |
-
Results for
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision |
|
| 15 |
-
| Recall | 0.
|
| 16 |
-
| F1 | 0.
|
| 17 |
|
| 18 |
|
| 19 |
-
Results for
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision |
|
| 23 |
-
| Recall | 0.
|
| 24 |
-
| F1 | 0.
|
| 25 |
|
| 26 |
|
| 27 |
-
Results for
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.
|
| 31 |
-
| Recall |
|
| 32 |
-
| F1 | 0.
|
| 33 |
|
| 34 |
|
| 35 |
-
Results for
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.
|
| 39 |
-
| Recall |
|
| 40 |
-
| F1 | 0.
|
| 41 |
|
| 42 |
|
| 43 |
-
Results for qu: accuracy 0.
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.
|
| 47 |
-
| Recall | 0.
|
| 48 |
-
| F1 | 0.
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for pour: accuracy 0.82
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.806452 | 0.842105 |
|
| 55 |
-
| Recall | 0.892857 | 0.727273 |
|
| 56 |
-
| F1 | 0.847458 | 0.780488 |
|
| 57 |
|
| 58 |
|
| 59 |
Results for en: accuracy 1.0
|
|
@@ -64,87 +56,87 @@ Results for en: accuracy 1.0
|
|
| 64 |
| F1 | 1 | 1 |
|
| 65 |
|
| 66 |
|
| 67 |
-
Results for
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision |
|
| 71 |
-
| Recall |
|
| 72 |
-
| F1 |
|
| 73 |
|
| 74 |
|
| 75 |
-
Results for ne: accuracy 0.
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.
|
| 79 |
-
| Recall | 0.
|
| 80 |
-
| F1 | 0.
|
| 81 |
|
| 82 |
|
| 83 |
-
Results for a: accuracy 0.
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.
|
| 87 |
-
| Recall | 0.
|
| 88 |
-
| F1 | 0.
|
| 89 |
|
| 90 |
|
| 91 |
-
Results for li: accuracy 0.
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.
|
| 95 |
-
| Recall | 0.
|
| 96 |
-
| F1 | 0.
|
| 97 |
|
| 98 |
|
| 99 |
-
Results for
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 0.
|
| 103 |
-
| Recall | 0.875 | 0.
|
| 104 |
-
| F1 | 0.
|
| 105 |
|
| 106 |
|
| 107 |
-
Results for
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision |
|
| 111 |
-
| Recall |
|
| 112 |
-
| F1 |
|
| 113 |
|
| 114 |
|
| 115 |
-
Results for ce: accuracy 0.
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 0.
|
| 119 |
-
| Recall | 0.
|
| 120 |
-
| F1 | 0.
|
| 121 |
|
| 122 |
|
| 123 |
-
Results for se: accuracy 0.
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision |
|
| 127 |
-
| Recall |
|
| 128 |
-
| F1 |
|
| 129 |
|
| 130 |
|
| 131 |
-
Results for je: accuracy 0.
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.
|
| 135 |
| Recall | 1 | 0.909091 |
|
| 136 |
-
| F1 | 0.
|
| 137 |
|
| 138 |
|
| 139 |
-
Results for
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision |
|
| 143 |
-
| Recall |
|
| 144 |
-
| F1 |
|
| 145 |
|
| 146 |
|
| 147 |
-
Results for
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
| Precision | 1 | 1 |
|
|
@@ -152,28 +144,36 @@ Results for e: accuracy 1.0
|
|
| 152 |
| F1 | 1 | 1 |
|
| 153 |
|
| 154 |
|
| 155 |
-
Results for fait: accuracy 0.
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision |
|
| 159 |
-
| Recall | 0.
|
| 160 |
-
| F1 | 0.
|
| 161 |
|
| 162 |
|
| 163 |
-
Results for
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 1 | 0.
|
| 167 |
-
| Recall | 0.
|
| 168 |
-
| F1 | 0.
|
| 169 |
|
| 170 |
|
| 171 |
-
Results for par: accuracy 0.
|
| 172 |
| | Segment Content | Segment Boundary |
|
| 173 |
|-----------+-------------------+--------------------|
|
| 174 |
| Precision | 1 | 0.8 |
|
| 175 |
-
| Recall | 0.
|
| 176 |
-
| F1 | 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 177 |
|
| 178 |
|
| 179 |
Results for c: accuracy 1.0
|
|
@@ -184,12 +184,12 @@ Results for c: accuracy 1.0
|
|
| 184 |
| F1 | 1 | 1 |
|
| 185 |
|
| 186 |
|
| 187 |
-
Results for
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision |
|
| 191 |
-
| Recall | 0.
|
| 192 |
-
| F1 | 0.
|
| 193 |
|
| 194 |
|
| 195 |
Results for tant: accuracy 1.0
|
|
@@ -200,28 +200,20 @@ Results for tant: accuracy 1.0
|
|
| 200 |
| F1 | 1 | 1 |
|
| 201 |
|
| 202 |
|
| 203 |
-
Results for
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision |
|
| 207 |
-
| Recall |
|
| 208 |
-
| F1 |
|
| 209 |
|
| 210 |
|
| 211 |
-
Results for dis: accuracy 0.
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 0.
|
| 215 |
| Recall | 1 | 0.8 |
|
| 216 |
-
| F1 | 0.
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
Results for por: accuracy 0.9545454545454546
|
| 220 |
-
| | Segment Content | Segment Boundary |
|
| 221 |
-
|-----------+-------------------+--------------------|
|
| 222 |
-
| Precision | 0.941176 | 1 |
|
| 223 |
-
| Recall | 1 | 0.833333 |
|
| 224 |
-
| F1 | 0.969697 | 0.909091 |
|
| 225 |
|
| 226 |
|
| 227 |
Results for comme: accuracy 1.0
|
|
@@ -232,15 +224,7 @@ Results for comme: accuracy 1.0
|
|
| 232 |
| F1 | 1 | 1 |
|
| 233 |
|
| 234 |
|
| 235 |
-
Results for
|
| 236 |
-
| | Segment Content | Segment Boundary |
|
| 237 |
-
|-----------+-------------------+--------------------|
|
| 238 |
-
| Precision | 1 | 1 |
|
| 239 |
-
| Recall | 1 | 1 |
|
| 240 |
-
| F1 | 1 | 1 |
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
Results for aus: accuracy 1.0
|
| 244 |
| | Segment Content | Segment Boundary |
|
| 245 |
|-----------+-------------------+--------------------|
|
| 246 |
| Precision | 1 | 1 |
|
|
@@ -256,12 +240,12 @@ Results for comment: accuracy 0.8333333333333334
|
|
| 256 |
| F1 | 0.75 | 0.875 |
|
| 257 |
|
| 258 |
|
| 259 |
-
Results for com: accuracy 0.
|
| 260 |
| | Segment Content | Segment Boundary |
|
| 261 |
|-----------+-------------------+--------------------|
|
| 262 |
| Precision | 1 | 0.666667 |
|
| 263 |
-
| Recall | 0.
|
| 264 |
-
| F1 | 0.
|
| 265 |
|
| 266 |
|
| 267 |
Results for fet: accuracy 1.0
|
|
@@ -280,12 +264,20 @@ Results for quel: accuracy 0.8571428571428571
|
|
| 280 |
| F1 | 0.888889 | 0.8 |
|
| 281 |
|
| 282 |
|
| 283 |
-
Results for
|
| 284 |
| | Segment Content | Segment Boundary |
|
| 285 |
|-----------+-------------------+--------------------|
|
| 286 |
-
| Precision |
|
| 287 |
-
| Recall |
|
| 288 |
-
| F1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 289 |
|
| 290 |
|
| 291 |
Results for Je: accuracy 1.0
|
|
|
|
| 1 |
+
Mean accuracy: 0.9542108729662763.
|
| 2 |
|
| 3 |
+
Results for et: accuracy 0.9409937888198758
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
+
| Precision | 0.895522 | 0.973404 |
|
| 7 |
+
| Recall | 0.96 | 0.928934 |
|
| 8 |
+
| F1 | 0.926641 | 0.950649 |
|
| 9 |
|
| 10 |
|
| 11 |
+
Results for que: accuracy 0.8977272727272727
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
+
| Precision | 0.830508 | 0.931624 |
|
| 15 |
+
| Recall | 0.859649 | 0.915966 |
|
| 16 |
+
| F1 | 0.844828 | 0.923729 |
|
| 17 |
|
| 18 |
|
| 19 |
+
Results for si: accuracy 0.9523809523809523
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
+
| Precision | 1 | 0.923077 |
|
| 23 |
+
| Recall | 0.888889 | 1 |
|
| 24 |
+
| F1 | 0.941176 | 0.96 |
|
| 25 |
|
| 26 |
|
| 27 |
+
Results for de: accuracy 0.9826086956521739
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
+
| Precision | 0.990698 | 0.866667 |
|
| 31 |
+
| Recall | 0.990698 | 0.866667 |
|
| 32 |
+
| F1 | 0.990698 | 0.866667 |
|
| 33 |
|
| 34 |
|
| 35 |
+
Results for il: accuracy 0.9948717948717949
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
+
| Precision | 0.994152 | 1 |
|
| 39 |
+
| Recall | 1 | 0.96 |
|
| 40 |
+
| F1 | 0.997067 | 0.979592 |
|
| 41 |
|
| 42 |
|
| 43 |
+
Results for qu: accuracy 0.9193548387096774
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
+
| Precision | 0.809524 | 0.97561 |
|
| 47 |
+
| Recall | 0.944444 | 0.909091 |
|
| 48 |
+
| F1 | 0.871795 | 0.941176 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
|
| 50 |
|
| 51 |
Results for en: accuracy 1.0
|
|
|
|
| 56 |
| F1 | 1 | 1 |
|
| 57 |
|
| 58 |
|
| 59 |
+
Results for pour: accuracy 0.8085106382978723
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
+
| Precision | 0.8 | 0.823529 |
|
| 63 |
+
| Recall | 0.888889 | 0.7 |
|
| 64 |
+
| F1 | 0.842105 | 0.756757 |
|
| 65 |
|
| 66 |
|
| 67 |
+
Results for ne: accuracy 0.9722222222222222
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
+
| Precision | 0.979798 | 0.888889 |
|
| 71 |
+
| Recall | 0.989796 | 0.8 |
|
| 72 |
+
| F1 | 0.984772 | 0.842105 |
|
| 73 |
|
| 74 |
|
| 75 |
+
Results for a: accuracy 0.9649122807017544
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
+
| Precision | 0.981651 | 0.6 |
|
| 79 |
+
| Recall | 0.981651 | 0.6 |
|
| 80 |
+
| F1 | 0.981651 | 0.6 |
|
| 81 |
|
| 82 |
|
| 83 |
+
Results for li: accuracy 0.9541284403669725
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
+
| Precision | 0.971429 | 0.5 |
|
| 87 |
+
| Recall | 0.980769 | 0.4 |
|
| 88 |
+
| F1 | 0.976077 | 0.444444 |
|
| 89 |
|
| 90 |
|
| 91 |
+
Results for qui: accuracy 0.8888888888888888
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
+
| Precision | 0.538462 | 0.98 |
|
| 95 |
+
| Recall | 0.875 | 0.890909 |
|
| 96 |
+
| F1 | 0.666667 | 0.933333 |
|
| 97 |
|
| 98 |
|
| 99 |
+
Results for e: accuracy 1.0
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
+
| Precision | 1 | 1 |
|
| 103 |
+
| Recall | 1 | 1 |
|
| 104 |
+
| F1 | 1 | 1 |
|
| 105 |
|
| 106 |
|
| 107 |
+
Results for ce: accuracy 0.9655172413793104
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
+
| Precision | 0.975904 | 0.75 |
|
| 111 |
+
| Recall | 0.987805 | 0.6 |
|
| 112 |
+
| F1 | 0.981818 | 0.666667 |
|
| 113 |
|
| 114 |
|
| 115 |
+
Results for se: accuracy 0.9655172413793104
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
+
| Precision | 0.979167 | 0.9 |
|
| 119 |
+
| Recall | 0.979167 | 0.9 |
|
| 120 |
+
| F1 | 0.979167 | 0.9 |
|
| 121 |
|
| 122 |
|
| 123 |
+
Results for je: accuracy 0.98
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
+
| Precision | 0.975 | 1 |
|
| 127 |
| Recall | 1 | 0.909091 |
|
| 128 |
+
| F1 | 0.987342 | 0.952381 |
|
| 129 |
|
| 130 |
|
| 131 |
+
Results for ai: accuracy 0.8695652173913043
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
+
| Precision | 0.928571 | 0.777778 |
|
| 135 |
+
| Recall | 0.866667 | 0.875 |
|
| 136 |
+
| F1 | 0.896552 | 0.823529 |
|
| 137 |
|
| 138 |
|
| 139 |
+
Results for mes: accuracy 1.0
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
| Precision | 1 | 1 |
|
|
|
|
| 144 |
| F1 | 1 | 1 |
|
| 145 |
|
| 146 |
|
| 147 |
+
Results for fait: accuracy 0.95
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
+
| Precision | 1 | 0.875 |
|
| 151 |
+
| Recall | 0.923077 | 1 |
|
| 152 |
+
| F1 | 0.96 | 0.933333 |
|
| 153 |
|
| 154 |
|
| 155 |
+
Results for quant: accuracy 0.9534883720930233
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
+
| Precision | 1 | 0.75 |
|
| 159 |
+
| Recall | 0.945946 | 1 |
|
| 160 |
+
| F1 | 0.972222 | 0.857143 |
|
| 161 |
|
| 162 |
|
| 163 |
+
Results for par: accuracy 0.9761904761904762
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
| Precision | 1 | 0.8 |
|
| 167 |
+
| Recall | 0.973684 | 1 |
|
| 168 |
+
| F1 | 0.986667 | 0.888889 |
|
| 169 |
+
|
| 170 |
+
|
| 171 |
+
Results for ou: accuracy 0.9047619047619048
|
| 172 |
+
| | Segment Content | Segment Boundary |
|
| 173 |
+
|-----------+-------------------+--------------------|
|
| 174 |
+
| Precision | 0.928571 | 0.857143 |
|
| 175 |
+
| Recall | 0.928571 | 0.857143 |
|
| 176 |
+
| F1 | 0.928571 | 0.857143 |
|
| 177 |
|
| 178 |
|
| 179 |
Results for c: accuracy 1.0
|
|
|
|
| 184 |
| F1 | 1 | 1 |
|
| 185 |
|
| 186 |
|
| 187 |
+
Results for con: accuracy 0.9722222222222222
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
+
| Precision | 1 | 0.75 |
|
| 191 |
+
| Recall | 0.969697 | 1 |
|
| 192 |
+
| F1 | 0.984615 | 0.857143 |
|
| 193 |
|
| 194 |
|
| 195 |
Results for tant: accuracy 1.0
|
|
|
|
| 200 |
| F1 | 1 | 1 |
|
| 201 |
|
| 202 |
|
| 203 |
+
Results for por: accuracy 0.9523809523809523
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
+
| Precision | 0.9375 | 1 |
|
| 207 |
+
| Recall | 1 | 0.833333 |
|
| 208 |
+
| F1 | 0.967742 | 0.909091 |
|
| 209 |
|
| 210 |
|
| 211 |
+
Results for dis: accuracy 0.9615384615384616
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
+
| Precision | 0.954545 | 1 |
|
| 215 |
| Recall | 1 | 0.8 |
|
| 216 |
+
| F1 | 0.976744 | 0.888889 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 217 |
|
| 218 |
|
| 219 |
Results for comme: accuracy 1.0
|
|
|
|
| 224 |
| F1 | 1 | 1 |
|
| 225 |
|
| 226 |
|
| 227 |
+
Results for on: accuracy 1.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 228 |
| | Segment Content | Segment Boundary |
|
| 229 |
|-----------+-------------------+--------------------|
|
| 230 |
| Precision | 1 | 1 |
|
|
|
|
| 240 |
| F1 | 0.75 | 0.875 |
|
| 241 |
|
| 242 |
|
| 243 |
+
Results for com: accuracy 0.9333333333333333
|
| 244 |
| | Segment Content | Segment Boundary |
|
| 245 |
|-----------+-------------------+--------------------|
|
| 246 |
| Precision | 1 | 0.666667 |
|
| 247 |
+
| Recall | 0.923077 | 1 |
|
| 248 |
+
| F1 | 0.96 | 0.8 |
|
| 249 |
|
| 250 |
|
| 251 |
Results for fet: accuracy 1.0
|
|
|
|
| 264 |
| F1 | 0.888889 | 0.8 |
|
| 265 |
|
| 266 |
|
| 267 |
+
Results for aus: accuracy 1.0
|
| 268 |
| | Segment Content | Segment Boundary |
|
| 269 |
|-----------+-------------------+--------------------|
|
| 270 |
+
| Precision | 1 | 1 |
|
| 271 |
+
| Recall | 1 | 1 |
|
| 272 |
+
| F1 | 1 | 1 |
|
| 273 |
+
|
| 274 |
+
|
| 275 |
+
Results for or: accuracy 1.0
|
| 276 |
+
| | Segment Content | Segment Boundary |
|
| 277 |
+
|-----------+-------------------+--------------------|
|
| 278 |
+
| Precision | 1 | 1 |
|
| 279 |
+
| Recall | 1 | 1 |
|
| 280 |
+
| F1 | 1 | 1 |
|
| 281 |
|
| 282 |
|
| 283 |
Results for Je: accuracy 1.0
|
{results/in-domain → logs}/resultats_ambiguite_it.txt
RENAMED
|
@@ -1,99 +1,91 @@
|
|
| 1 |
-
Mean accuracy: 0.
|
| 2 |
|
| 3 |
-
Results for e: accuracy 0.
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.
|
| 7 |
-
| Recall | 0.
|
| 8 |
-
| F1 | 0.
|
| 9 |
|
| 10 |
|
| 11 |
-
Results for si: accuracy 0.
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.
|
| 15 |
-
| Recall | 0.
|
| 16 |
-
| F1 | 0.
|
| 17 |
|
| 18 |
|
| 19 |
-
Results for che: accuracy 0.
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.
|
| 23 |
-
| Recall | 0.
|
| 24 |
-
| F1 | 0.
|
| 25 |
|
| 26 |
|
| 27 |
-
Results for per: accuracy 0.
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.
|
| 31 |
-
| Recall | 0.
|
| 32 |
-
| F1 | 0.
|
| 33 |
|
| 34 |
|
| 35 |
-
Results for di: accuracy 0.
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.
|
| 39 |
-
| Recall | 0.
|
| 40 |
-
| F1 | 0.
|
| 41 |
|
| 42 |
|
| 43 |
-
Results for ch: accuracy 0.
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.857143 | 0.
|
| 47 |
-
| Recall | 0.705882 | 0.
|
| 48 |
-
| F1 | 0.774194 | 0.
|
| 49 |
|
| 50 |
|
| 51 |
-
Results for a: accuracy 0.
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
| Precision | 1 | 0.444444 |
|
| 55 |
-
| Recall | 0.
|
| 56 |
-
| F1 | 0.
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for il: accuracy 0.9459459459459459
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.983871 | 0.75 |
|
| 63 |
-
| Recall | 0.953125 | 0.9 |
|
| 64 |
-
| F1 | 0.968254 | 0.818182 |
|
| 65 |
|
| 66 |
|
| 67 |
-
Results for
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.
|
| 71 |
-
| Recall | 0.
|
| 72 |
-
| F1 | 0.
|
| 73 |
|
| 74 |
|
| 75 |
-
Results for in: accuracy 0.
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
| Precision | 1 | 0.75 |
|
| 79 |
-
| Recall | 0.
|
| 80 |
-
| F1 | 0.
|
| 81 |
|
| 82 |
|
| 83 |
-
Results for
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision |
|
| 87 |
-
| Recall | 0.
|
| 88 |
-
| F1 | 0.
|
| 89 |
|
| 90 |
|
| 91 |
-
Results for
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision |
|
| 95 |
-
| Recall | 0.
|
| 96 |
-
| F1 | 0.
|
| 97 |
|
| 98 |
|
| 99 |
Results for con: accuracy 1.0
|
|
@@ -104,28 +96,12 @@ Results for con: accuracy 1.0
|
|
| 104 |
| F1 | 1 | 1 |
|
| 105 |
|
| 106 |
|
| 107 |
-
Results for
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.85 | 0.714286 |
|
| 111 |
-
| Recall | 0.894737 | 0.625 |
|
| 112 |
-
| F1 | 0.871795 | 0.666667 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for come: accuracy 0.9411764705882353
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
| Precision | 1 | 0.833333 |
|
| 119 |
-
| Recall | 0.
|
| 120 |
-
| F1 | 0.
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for i: accuracy 0.9411764705882353
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 1 | 0.5 |
|
| 127 |
-
| Recall | 0.9375 | 1 |
|
| 128 |
-
| F1 | 0.967742 | 0.666667 |
|
| 129 |
|
| 130 |
|
| 131 |
Results for pos: accuracy 1.0
|
|
@@ -136,23 +112,23 @@ Results for pos: accuracy 1.0
|
|
| 136 |
| F1 | 1 | 1 |
|
| 137 |
|
| 138 |
|
| 139 |
-
Results for
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision |
|
| 143 |
-
| Recall |
|
| 144 |
-
| F1 |
|
| 145 |
|
| 146 |
|
| 147 |
-
Results for
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision |
|
| 151 |
-
| Recall |
|
| 152 |
-
| F1 |
|
| 153 |
|
| 154 |
|
| 155 |
-
Results for
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
| Precision | 1 | 1 |
|
|
@@ -160,7 +136,7 @@ Results for et: accuracy 1.0
|
|
| 160 |
| F1 | 1 | 1 |
|
| 161 |
|
| 162 |
|
| 163 |
-
Results for
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
| Precision | 1 | 1 |
|
|
@@ -176,20 +152,20 @@ Results for vol: accuracy 0.9444444444444444
|
|
| 176 |
| F1 | 0.967742 | 0.8 |
|
| 177 |
|
| 178 |
|
| 179 |
-
Results for è: accuracy 0.
|
| 180 |
| | Segment Content | Segment Boundary |
|
| 181 |
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 0.
|
| 183 |
-
| Recall | 0.
|
| 184 |
-
| F1 | 0.
|
| 185 |
|
| 186 |
|
| 187 |
-
Results for
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision |
|
| 191 |
-
| Recall |
|
| 192 |
-
| F1 |
|
| 193 |
|
| 194 |
|
| 195 |
Results for ins: accuracy 1.0
|
|
@@ -200,19 +176,19 @@ Results for ins: accuracy 1.0
|
|
| 200 |
| F1 | 1 | 1 |
|
| 201 |
|
| 202 |
|
| 203 |
-
Results for
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision |
|
| 207 |
-
| Recall |
|
| 208 |
-
| F1 |
|
| 209 |
|
| 210 |
|
| 211 |
-
Results for
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision |
|
| 215 |
-
| Recall |
|
| 216 |
-
| F1 |
|
| 217 |
|
| 218 |
|
|
|
|
| 1 |
+
Mean accuracy: 0.9267648979933372.
|
| 2 |
|
| 3 |
+
Results for e: accuracy 0.8178294573643411
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
+
| Precision | 0.790476 | 0.836601 |
|
| 7 |
+
| Recall | 0.768519 | 0.853333 |
|
| 8 |
+
| F1 | 0.779343 | 0.844884 |
|
| 9 |
|
| 10 |
|
| 11 |
+
Results for si: accuracy 0.898989898989899
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
+
| Precision | 0.836364 | 0.977273 |
|
| 15 |
+
| Recall | 0.978723 | 0.826923 |
|
| 16 |
+
| F1 | 0.901961 | 0.895833 |
|
| 17 |
|
| 18 |
|
| 19 |
+
Results for che: accuracy 0.8955223880597015
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
+
| Precision | 0.764706 | 0.94 |
|
| 23 |
+
| Recall | 0.8125 | 0.921569 |
|
| 24 |
+
| F1 | 0.787879 | 0.930693 |
|
| 25 |
|
| 26 |
|
| 27 |
+
Results for per: accuracy 0.8888888888888888
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
+
| Precision | 0.918367 | 0.826087 |
|
| 31 |
+
| Recall | 0.918367 | 0.826087 |
|
| 32 |
+
| F1 | 0.918367 | 0.826087 |
|
| 33 |
|
| 34 |
|
| 35 |
+
Results for di: accuracy 0.9782608695652174
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
+
| Precision | 0.992366 | 0.714286 |
|
| 39 |
+
| Recall | 0.984848 | 0.833333 |
|
| 40 |
+
| F1 | 0.988593 | 0.769231 |
|
| 41 |
|
| 42 |
|
| 43 |
+
Results for ch: accuracy 0.8985507246376812
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
+
| Precision | 0.857143 | 0.909091 |
|
| 47 |
+
| Recall | 0.705882 | 0.961538 |
|
| 48 |
+
| F1 | 0.774194 | 0.934579 |
|
| 49 |
|
| 50 |
|
| 51 |
+
Results for a: accuracy 0.9404761904761905
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
| Precision | 1 | 0.444444 |
|
| 55 |
+
| Recall | 0.9375 | 1 |
|
| 56 |
+
| F1 | 0.967742 | 0.615385 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 57 |
|
| 58 |
|
| 59 |
+
Results for il: accuracy 0.9402985074626866
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
+
| Precision | 0.981818 | 0.75 |
|
| 63 |
+
| Recall | 0.947368 | 0.9 |
|
| 64 |
+
| F1 | 0.964286 | 0.818182 |
|
| 65 |
|
| 66 |
|
| 67 |
+
Results for in: accuracy 0.9855072463768116
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
| Precision | 1 | 0.75 |
|
| 71 |
+
| Recall | 0.984848 | 1 |
|
| 72 |
+
| F1 | 0.992366 | 0.857143 |
|
| 73 |
|
| 74 |
|
| 75 |
+
Results for l: accuracy 0.9821428571428571
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
+
| Precision | 1 | 0.666667 |
|
| 79 |
+
| Recall | 0.981481 | 1 |
|
| 80 |
+
| F1 | 0.990654 | 0.8 |
|
| 81 |
|
| 82 |
|
| 83 |
+
Results for s: accuracy 0.7916666666666666
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
+
| Precision | 0.823529 | 0.714286 |
|
| 87 |
+
| Recall | 0.875 | 0.625 |
|
| 88 |
+
| F1 | 0.848485 | 0.666667 |
|
| 89 |
|
| 90 |
|
| 91 |
Results for con: accuracy 1.0
|
|
|
|
| 96 |
| F1 | 1 | 1 |
|
| 97 |
|
| 98 |
|
| 99 |
+
Results for come: accuracy 0.9375
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
| Precision | 1 | 0.833333 |
|
| 103 |
+
| Recall | 0.909091 | 1 |
|
| 104 |
+
| F1 | 0.952381 | 0.909091 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 105 |
|
| 106 |
|
| 107 |
Results for pos: accuracy 1.0
|
|
|
|
| 112 |
| F1 | 1 | 1 |
|
| 113 |
|
| 114 |
|
| 115 |
+
Results for i: accuracy 0.96875
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
+
| Precision | 1 | 0.666667 |
|
| 119 |
+
| Recall | 0.966667 | 1 |
|
| 120 |
+
| F1 | 0.983051 | 0.8 |
|
| 121 |
|
| 122 |
|
| 123 |
+
Results for se: accuracy 0.75
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
+
| Precision | 0.727273 | 0.8 |
|
| 127 |
+
| Recall | 0.888889 | 0.571429 |
|
| 128 |
+
| F1 | 0.8 | 0.666667 |
|
| 129 |
|
| 130 |
|
| 131 |
+
Results for quand: accuracy 1.0
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
| Precision | 1 | 1 |
|
|
|
|
| 136 |
| F1 | 1 | 1 |
|
| 137 |
|
| 138 |
|
| 139 |
+
Results for et: accuracy 1.0
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
| Precision | 1 | 1 |
|
|
|
|
| 152 |
| F1 | 0.967742 | 0.8 |
|
| 153 |
|
| 154 |
|
| 155 |
+
Results for è: accuracy 0.8235294117647058
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
+
| Precision | 0.857143 | 0.666667 |
|
| 159 |
+
| Recall | 0.923077 | 0.5 |
|
| 160 |
+
| F1 | 0.888889 | 0.571429 |
|
| 161 |
|
| 162 |
|
| 163 |
+
Results for nella: accuracy 1.0
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
+
| Precision | 1 | 1 |
|
| 167 |
+
| Recall | 1 | 1 |
|
| 168 |
+
| F1 | 1 | 1 |
|
| 169 |
|
| 170 |
|
| 171 |
Results for ins: accuracy 1.0
|
|
|
|
| 176 |
| F1 | 1 | 1 |
|
| 177 |
|
| 178 |
|
| 179 |
+
Results for o: accuracy 0.8
|
| 180 |
| | Segment Content | Segment Boundary |
|
| 181 |
|-----------+-------------------+--------------------|
|
| 182 |
+
| Precision | 0.857143 | 0.666667 |
|
| 183 |
+
| Recall | 0.857143 | 0.666667 |
|
| 184 |
+
| F1 | 0.857143 | 0.666667 |
|
| 185 |
|
| 186 |
|
| 187 |
+
Results for sì: accuracy 1.0
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
+
| Precision | 1 | 1 |
|
| 191 |
+
| Recall | 1 | 1 |
|
| 192 |
+
| F1 | 1 | 1 |
|
| 193 |
|
| 194 |
|
results/out-of-domain/other_langs/resultats_ambiguite_ca.txt → logs/resultats_ambiguite_la.txt
RENAMED
|
@@ -1,230 +1,246 @@
|
|
| 1 |
-
Mean accuracy: 0.
|
| 2 |
|
| 3 |
-
Results for
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision |
|
| 7 |
-
| Recall |
|
| 8 |
-
| F1 |
|
| 9 |
|
| 10 |
|
| 11 |
-
Results for
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.
|
| 15 |
-
| Recall | 0.
|
| 16 |
-
| F1 | 0.
|
| 17 |
|
| 18 |
|
| 19 |
-
Results for
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.
|
| 23 |
-
| Recall | 0.
|
| 24 |
-
| F1 | 0.
|
| 25 |
|
| 26 |
|
| 27 |
-
Results for
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.
|
| 31 |
-
| Recall |
|
| 32 |
-
| F1 | 0.
|
| 33 |
|
| 34 |
|
| 35 |
-
Results for
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.
|
| 39 |
-
| Recall | 0.
|
| 40 |
-
| F1 | 0.
|
| 41 |
|
| 42 |
|
| 43 |
-
Results for
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.
|
| 47 |
-
| Recall |
|
| 48 |
-
| F1 | 0.
|
| 49 |
|
| 50 |
|
| 51 |
-
Results for
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision |
|
| 55 |
-
| Recall | 0.
|
| 56 |
-
| F1 | 0.
|
| 57 |
|
| 58 |
|
| 59 |
-
Results for
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.
|
| 63 |
-
| Recall | 0.
|
| 64 |
-
| F1 | 0.
|
| 65 |
|
| 66 |
|
| 67 |
-
Results for
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision |
|
| 71 |
-
| Recall | 0.
|
| 72 |
-
| F1 | 0.
|
| 73 |
|
| 74 |
|
| 75 |
-
Results for
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.
|
| 79 |
-
| Recall | 0.
|
| 80 |
-
| F1 | 0.
|
| 81 |
|
| 82 |
|
| 83 |
-
Results for
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.
|
| 87 |
-
| Recall |
|
| 88 |
-
| F1 | 0.
|
| 89 |
|
| 90 |
|
| 91 |
-
Results for
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision |
|
| 95 |
-
| Recall | 0.
|
| 96 |
-
| F1 | 0.
|
| 97 |
|
| 98 |
|
| 99 |
-
Results for
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 0.
|
| 103 |
-
| Recall | 0.
|
| 104 |
-
| F1 | 0.
|
| 105 |
|
| 106 |
|
| 107 |
-
Results for
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.
|
| 111 |
-
| Recall | 0.
|
| 112 |
-
| F1 | 0.
|
| 113 |
|
| 114 |
|
| 115 |
-
Results for
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision |
|
| 119 |
-
| Recall | 0.
|
| 120 |
-
| F1 | 0.
|
| 121 |
|
| 122 |
|
| 123 |
-
Results for
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 0.
|
| 127 |
-
| Recall | 0.
|
| 128 |
-
| F1 | 0.
|
| 129 |
|
| 130 |
|
| 131 |
-
Results for
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 1 |
|
| 135 |
-
| Recall | 0.
|
| 136 |
-
| F1 | 0.
|
| 137 |
|
| 138 |
|
| 139 |
-
Results for
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 1 |
|
| 143 |
-
| Recall | 0.
|
| 144 |
-
| F1 | 0.
|
| 145 |
|
| 146 |
|
| 147 |
-
Results for
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 0.
|
| 151 |
-
| Recall |
|
| 152 |
-
| F1 | 0.
|
| 153 |
|
| 154 |
|
| 155 |
-
Results for
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision |
|
| 159 |
-
| Recall | 0.
|
| 160 |
-
| F1 | 0.833333 | 0.
|
| 161 |
|
| 162 |
|
| 163 |
-
Results for
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision |
|
| 167 |
-
| Recall |
|
| 168 |
-
| F1 |
|
| 169 |
|
| 170 |
|
| 171 |
-
Results for
|
| 172 |
| | Segment Content | Segment Boundary |
|
| 173 |
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 1 |
|
| 175 |
-
| Recall | 0.
|
| 176 |
-
| F1 | 0.
|
| 177 |
|
| 178 |
|
| 179 |
-
Results for
|
| 180 |
| | Segment Content | Segment Boundary |
|
| 181 |
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision |
|
| 183 |
-
| Recall | 0.
|
| 184 |
-
| F1 | 0.
|
| 185 |
|
| 186 |
|
| 187 |
-
Results for
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 1 |
|
| 191 |
-
| Recall | 0.
|
| 192 |
-
| F1 | 0.
|
| 193 |
|
| 194 |
|
| 195 |
-
Results for
|
| 196 |
| | Segment Content | Segment Boundary |
|
| 197 |
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 0.
|
| 199 |
-
| Recall | 0.
|
| 200 |
-
| F1 | 0.
|
| 201 |
|
| 202 |
|
| 203 |
-
Results for
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision |
|
| 207 |
-
| Recall | 0.
|
| 208 |
-
| F1 | 0.
|
| 209 |
|
| 210 |
|
| 211 |
-
Results for
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 1 |
|
| 215 |
-
| Recall | 0.
|
| 216 |
-
| F1 | 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 217 |
|
| 218 |
|
| 219 |
-
Results for
|
| 220 |
| | Segment Content | Segment Boundary |
|
| 221 |
|-----------+-------------------+--------------------|
|
| 222 |
-
| Precision | 0.
|
| 223 |
| Recall | 1 | 0.75 |
|
| 224 |
-
| F1 | 0.
|
| 225 |
|
| 226 |
|
| 227 |
-
Results for
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 228 |
| | Segment Content | Segment Boundary |
|
| 229 |
|-----------+-------------------+--------------------|
|
| 230 |
| Precision | 1 | 1 |
|
|
@@ -232,19 +248,27 @@ Results for may: accuracy 1.0
|
|
| 232 |
| F1 | 1 | 1 |
|
| 233 |
|
| 234 |
|
| 235 |
-
Results for
|
| 236 |
| | Segment Content | Segment Boundary |
|
| 237 |
|-----------+-------------------+--------------------|
|
| 238 |
| Precision | 1 | 0.666667 |
|
| 239 |
-
| Recall | 0.
|
| 240 |
-
| F1 | 0.
|
| 241 |
|
| 242 |
|
| 243 |
-
Results for
|
| 244 |
| | Segment Content | Segment Boundary |
|
| 245 |
|-----------+-------------------+--------------------|
|
| 246 |
-
| Precision |
|
| 247 |
-
| Recall |
|
| 248 |
-
| F1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 249 |
|
| 250 |
|
|
|
|
| 1 |
+
Mean accuracy: 0.8923750995895208.
|
| 2 |
|
| 3 |
+
Results for et: accuracy 0.8043478260869565
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
+
| Precision | 0.72 | 0.904762 |
|
| 7 |
+
| Recall | 0.9 | 0.730769 |
|
| 8 |
+
| F1 | 0.8 | 0.808511 |
|
| 9 |
|
| 10 |
|
| 11 |
+
Results for ut: accuracy 0.8653846153846154
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
+
| Precision | 0.777778 | 0.96 |
|
| 15 |
+
| Recall | 0.954545 | 0.8 |
|
| 16 |
+
| F1 | 0.857143 | 0.872727 |
|
| 17 |
|
| 18 |
|
| 19 |
+
Results for qui: accuracy 0.9230769230769231
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
+
| Precision | 0.928571 | 0.916667 |
|
| 23 |
+
| Recall | 0.928571 | 0.916667 |
|
| 24 |
+
| F1 | 0.928571 | 0.916667 |
|
| 25 |
|
| 26 |
|
| 27 |
+
Results for quod: accuracy 0.9791666666666666
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
+
| Precision | 0.947368 | 1 |
|
| 31 |
+
| Recall | 1 | 0.966667 |
|
| 32 |
+
| F1 | 0.972973 | 0.983051 |
|
| 33 |
|
| 34 |
|
| 35 |
+
Results for in: accuracy 0.9090909090909091
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
+
| Precision | 0.918605 | 0.875 |
|
| 39 |
+
| Recall | 0.963415 | 0.75 |
|
| 40 |
+
| F1 | 0.940476 | 0.807692 |
|
| 41 |
|
| 42 |
|
| 43 |
+
Results for quam: accuracy 0.9130434782608695
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
+
| Precision | 0.8 | 1 |
|
| 47 |
+
| Recall | 1 | 0.866667 |
|
| 48 |
+
| F1 | 0.888889 | 0.928571 |
|
| 49 |
|
| 50 |
|
| 51 |
+
Results for de: accuracy 0.9452054794520548
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
+
| Precision | 0.983607 | 0.75 |
|
| 55 |
+
| Recall | 0.952381 | 0.9 |
|
| 56 |
+
| F1 | 0.967742 | 0.818182 |
|
| 57 |
|
| 58 |
|
| 59 |
+
Results for ad: accuracy 0.8461538461538461
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
+
| Precision | 0.923077 | 0.692308 |
|
| 63 |
+
| Recall | 0.857143 | 0.818182 |
|
| 64 |
+
| F1 | 0.888889 | 0.75 |
|
| 65 |
|
| 66 |
|
| 67 |
+
Results for quae: accuracy 0.8571428571428571
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
+
| Precision | 0.857143 | 0.857143 |
|
| 71 |
+
| Recall | 0.857143 | 0.857143 |
|
| 72 |
+
| F1 | 0.857143 | 0.857143 |
|
| 73 |
|
| 74 |
|
| 75 |
+
Results for quo: accuracy 0.8235294117647058
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
+
| Precision | 0.888889 | 0.75 |
|
| 79 |
+
| Recall | 0.8 | 0.857143 |
|
| 80 |
+
| F1 | 0.842105 | 0.8 |
|
| 81 |
|
| 82 |
|
| 83 |
+
Results for non: accuracy 0.9555555555555556
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
+
| Precision | 0.971429 | 0.9 |
|
| 87 |
+
| Recall | 0.971429 | 0.9 |
|
| 88 |
+
| F1 | 0.971429 | 0.9 |
|
| 89 |
|
| 90 |
|
| 91 |
+
Results for est: accuracy 0.9482758620689655
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
+
| Precision | 0.962264 | 0.8 |
|
| 95 |
+
| Recall | 0.980769 | 0.666667 |
|
| 96 |
+
| F1 | 0.971429 | 0.727273 |
|
| 97 |
|
| 98 |
|
| 99 |
+
Results for per: accuracy 0.8611111111111112
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
+
| Precision | 0.851852 | 0.888889 |
|
| 103 |
+
| Recall | 0.958333 | 0.666667 |
|
| 104 |
+
| F1 | 0.901961 | 0.761905 |
|
| 105 |
|
| 106 |
|
| 107 |
+
Results for ne: accuracy 0.8095238095238095
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
+
| Precision | 0.769231 | 0.875 |
|
| 111 |
+
| Recall | 0.909091 | 0.7 |
|
| 112 |
+
| F1 | 0.833333 | 0.777778 |
|
| 113 |
|
| 114 |
|
| 115 |
+
Results for qua: accuracy 0.9047619047619048
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
+
| Precision | 0.923077 | 0.875 |
|
| 119 |
+
| Recall | 0.923077 | 0.875 |
|
| 120 |
+
| F1 | 0.923077 | 0.875 |
|
| 121 |
|
| 122 |
|
| 123 |
+
Results for si: accuracy 0.8857142857142857
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
+
| Precision | 0.888889 | 0.875 |
|
| 127 |
+
| Recall | 0.96 | 0.7 |
|
| 128 |
+
| F1 | 0.923077 | 0.777778 |
|
| 129 |
|
| 130 |
|
| 131 |
+
Results for vel: accuracy 0.7058823529411765
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
+
| Precision | 0.5 | 1 |
|
| 135 |
+
| Recall | 1 | 0.583333 |
|
| 136 |
+
| F1 | 0.666667 | 0.736842 |
|
| 137 |
|
| 138 |
|
| 139 |
+
Results for ex: accuracy 0.9772727272727273
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
+
| Precision | 1 | 0.833333 |
|
| 143 |
+
| Recall | 0.974359 | 1 |
|
| 144 |
+
| F1 | 0.987013 | 0.909091 |
|
| 145 |
|
| 146 |
|
| 147 |
+
Results for (: accuracy 0.6153846153846154
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
+
| Precision | 0.714286 | 0.5 |
|
| 151 |
+
| Recall | 0.625 | 0.6 |
|
| 152 |
+
| F1 | 0.666667 | 0.545455 |
|
| 153 |
|
| 154 |
|
| 155 |
+
Results for sic: accuracy 0.8888888888888888
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
+
| Precision | 0.714286 | 1 |
|
| 159 |
+
| Recall | 1 | 0.846154 |
|
| 160 |
+
| F1 | 0.833333 | 0.916667 |
|
| 161 |
|
| 162 |
|
| 163 |
+
Results for con: accuracy 0.8787878787878788
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
+
| Precision | 0.961538 | 0.571429 |
|
| 167 |
+
| Recall | 0.892857 | 0.8 |
|
| 168 |
+
| F1 | 0.925926 | 0.666667 |
|
| 169 |
|
| 170 |
|
| 171 |
+
Results for Et: accuracy 0.9285714285714286
|
| 172 |
| | Segment Content | Segment Boundary |
|
| 173 |
|-----------+-------------------+--------------------|
|
| 174 |
+
| Precision | 0.875 | 1 |
|
| 175 |
+
| Recall | 1 | 0.857143 |
|
| 176 |
+
| F1 | 0.933333 | 0.923077 |
|
| 177 |
|
| 178 |
|
| 179 |
+
Results for di: accuracy 0.9333333333333333
|
| 180 |
| | Segment Content | Segment Boundary |
|
| 181 |
|-----------+-------------------+--------------------|
|
| 182 |
+
| Precision | 1 | 0.333333 |
|
| 183 |
+
| Recall | 0.931034 | 1 |
|
| 184 |
+
| F1 | 0.964286 | 0.5 |
|
| 185 |
|
| 186 |
|
| 187 |
+
Results for esse: accuracy 0.9583333333333334
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
+
| Precision | 0.952381 | 1 |
|
| 191 |
+
| Recall | 1 | 0.75 |
|
| 192 |
+
| F1 | 0.97561 | 0.857143 |
|
| 193 |
|
| 194 |
|
| 195 |
+
Results for a: accuracy 0.875
|
| 196 |
| | Segment Content | Segment Boundary |
|
| 197 |
|-----------+-------------------+--------------------|
|
| 198 |
+
| Precision | 0.904762 | 0.666667 |
|
| 199 |
+
| Recall | 0.95 | 0.5 |
|
| 200 |
+
| F1 | 0.926829 | 0.571429 |
|
| 201 |
|
| 202 |
|
| 203 |
+
Results for cum: accuracy 0.9285714285714286
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
+
| Precision | 0.75 | 1 |
|
| 207 |
+
| Recall | 1 | 0.909091 |
|
| 208 |
+
| F1 | 0.857143 | 0.952381 |
|
| 209 |
|
| 210 |
|
| 211 |
+
Results for secundum: accuracy 0.75
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
+
| Precision | 0.625 | 1 |
|
| 215 |
+
| Recall | 1 | 0.571429 |
|
| 216 |
+
| F1 | 0.769231 | 0.727273 |
|
| 217 |
+
|
| 218 |
+
|
| 219 |
+
Results for eo: accuracy 1.0
|
| 220 |
+
| | Segment Content | Segment Boundary |
|
| 221 |
+
|-----------+-------------------+--------------------|
|
| 222 |
+
| Precision | 1 | 1 |
|
| 223 |
+
| Recall | 1 | 1 |
|
| 224 |
+
| F1 | 1 | 1 |
|
| 225 |
|
| 226 |
|
| 227 |
+
Results for e: accuracy 0.9375
|
| 228 |
| | Segment Content | Segment Boundary |
|
| 229 |
|-----------+-------------------+--------------------|
|
| 230 |
+
| Precision | 0.923077 | 1 |
|
| 231 |
| Recall | 1 | 0.75 |
|
| 232 |
+
| F1 | 0.96 | 0.857143 |
|
| 233 |
|
| 234 |
|
| 235 |
+
Results for debe: accuracy 0.875
|
| 236 |
+
| | Segment Content | Segment Boundary |
|
| 237 |
+
|-----------+-------------------+--------------------|
|
| 238 |
+
| Precision | 1 | 0.333333 |
|
| 239 |
+
| Recall | 0.866667 | 1 |
|
| 240 |
+
| F1 | 0.928571 | 0.5 |
|
| 241 |
+
|
| 242 |
+
|
| 243 |
+
Results for o: accuracy 1.0
|
| 244 |
| | Segment Content | Segment Boundary |
|
| 245 |
|-----------+-------------------+--------------------|
|
| 246 |
| Precision | 1 | 1 |
|
|
|
|
| 248 |
| F1 | 1 | 1 |
|
| 249 |
|
| 250 |
|
| 251 |
+
Results for aut: accuracy 0.8571428571428571
|
| 252 |
| | Segment Content | Segment Boundary |
|
| 253 |
|-----------+-------------------+--------------------|
|
| 254 |
| Precision | 1 | 0.666667 |
|
| 255 |
+
| Recall | 0.8 | 1 |
|
| 256 |
+
| F1 | 0.888889 | 0.8 |
|
| 257 |
|
| 258 |
|
| 259 |
+
Results for ecc: accuracy 1.0
|
| 260 |
| | Segment Content | Segment Boundary |
|
| 261 |
|-----------+-------------------+--------------------|
|
| 262 |
+
| Precision | 1 | 1 |
|
| 263 |
+
| Recall | 1 | 1 |
|
| 264 |
+
| F1 | 1 | 1 |
|
| 265 |
+
|
| 266 |
+
|
| 267 |
+
Results for post: accuracy 1.0
|
| 268 |
+
| | Segment Content | Segment Boundary |
|
| 269 |
+
|-----------+-------------------+--------------------|
|
| 270 |
+
| Precision | 1 | 1 |
|
| 271 |
+
| Recall | 1 | 1 |
|
| 272 |
+
| F1 | 1 | 1 |
|
| 273 |
|
| 274 |
|
results/in-domain/resultats_ambiguite_ca.txt → logs/resultats_ambiguite_pt.txt
RENAMED
|
@@ -1,62 +1,46 @@
|
|
| 1 |
-
Mean accuracy: 0.
|
| 2 |
|
| 3 |
-
Results for que: accuracy 0.
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.
|
| 7 |
-
| Recall | 0.
|
| 8 |
-
| F1 | 0.
|
| 9 |
|
| 10 |
|
| 11 |
-
Results for e: accuracy 0.
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.
|
| 15 |
-
| Recall | 0.
|
| 16 |
-
| F1 | 0.
|
| 17 |
|
| 18 |
|
| 19 |
-
Results for
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.
|
| 23 |
-
| Recall | 0.
|
| 24 |
-
| F1 | 0.
|
| 25 |
|
| 26 |
|
| 27 |
-
Results for de: accuracy 0.
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision |
|
| 31 |
-
| Recall | 0.
|
| 32 |
-
| F1 | 0.
|
| 33 |
|
| 34 |
|
| 35 |
-
Results for
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.
|
| 39 |
-
| Recall | 0.
|
| 40 |
-
| F1 | 0.
|
| 41 |
|
| 42 |
|
| 43 |
-
Results for
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.956989 | 0.642857 |
|
| 47 |
-
| Recall | 0.946809 | 0.692308 |
|
| 48 |
-
| F1 | 0.951872 | 0.666667 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for a: accuracy 0.9537037037037037
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.96875 | 0.833333 |
|
| 55 |
-
| Recall | 0.978947 | 0.769231 |
|
| 56 |
-
| F1 | 0.973822 | 0.8 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for cor: accuracy 1.0
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
| Precision | 1 | 1 |
|
|
@@ -64,95 +48,95 @@ Results for cor: accuracy 1.0
|
|
| 64 |
| F1 | 1 | 1 |
|
| 65 |
|
| 66 |
|
| 67 |
-
Results for
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 1 | 0.
|
| 71 |
-
| Recall | 0.
|
| 72 |
-
| F1 | 0.
|
| 73 |
|
| 74 |
|
| 75 |
-
Results for
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.
|
| 79 |
-
| Recall | 0.
|
| 80 |
-
| F1 | 0.
|
| 81 |
|
| 82 |
|
| 83 |
-
Results for
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision |
|
| 87 |
-
| Recall | 0.
|
| 88 |
-
| F1 | 0.
|
| 89 |
|
| 90 |
|
| 91 |
-
Results for
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.
|
| 95 |
-
| Recall |
|
| 96 |
-
| F1 | 0.
|
| 97 |
|
| 98 |
|
| 99 |
-
Results for
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision |
|
| 103 |
-
| Recall |
|
| 104 |
-
| F1 |
|
| 105 |
|
| 106 |
|
| 107 |
-
Results for
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.
|
| 111 |
-
| Recall |
|
| 112 |
-
| F1 | 0.
|
| 113 |
|
| 114 |
|
| 115 |
-
Results for
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision |
|
| 119 |
-
| Recall | 0.
|
| 120 |
-
| F1 | 0.
|
| 121 |
|
| 122 |
|
| 123 |
-
Results for
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision |
|
| 127 |
-
| Recall |
|
| 128 |
-
| F1 |
|
| 129 |
|
| 130 |
|
| 131 |
-
Results for
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision |
|
| 135 |
-
| Recall |
|
| 136 |
-
| F1 |
|
| 137 |
|
| 138 |
|
| 139 |
-
Results for
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision |
|
| 143 |
-
| Recall |
|
| 144 |
-
| F1 |
|
| 145 |
|
| 146 |
|
| 147 |
-
Results for
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 1 |
|
| 151 |
-
| Recall | 0.
|
| 152 |
-
| F1 | 0.
|
| 153 |
|
| 154 |
|
| 155 |
-
Results for
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
| Precision | 1 | 1 |
|
|
@@ -160,15 +144,15 @@ Results for si: accuracy 1.0
|
|
| 160 |
| F1 | 1 | 1 |
|
| 161 |
|
| 162 |
|
| 163 |
-
Results for
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 1 |
|
| 167 |
-
| Recall | 0.
|
| 168 |
-
| F1 | 0.
|
| 169 |
|
| 170 |
|
| 171 |
-
Results for
|
| 172 |
| | Segment Content | Segment Boundary |
|
| 173 |
|-----------+-------------------+--------------------|
|
| 174 |
| Precision | 1 | 1 |
|
|
@@ -176,23 +160,23 @@ Results for so: accuracy 1.0
|
|
| 176 |
| F1 | 1 | 1 |
|
| 177 |
|
| 178 |
|
| 179 |
-
Results for
|
| 180 |
| | Segment Content | Segment Boundary |
|
| 181 |
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 0.75 |
|
| 183 |
-
| Recall | 0.
|
| 184 |
-
| F1 | 0.
|
| 185 |
|
| 186 |
|
| 187 |
-
Results for
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision |
|
| 191 |
-
| Recall |
|
| 192 |
-
| F1 |
|
| 193 |
|
| 194 |
|
| 195 |
-
Results for
|
| 196 |
| | Segment Content | Segment Boundary |
|
| 197 |
|-----------+-------------------+--------------------|
|
| 198 |
| Precision | 1 | 1 |
|
|
@@ -200,23 +184,23 @@ Results for pre: accuracy 1.0
|
|
| 200 |
| F1 | 1 | 1 |
|
| 201 |
|
| 202 |
|
| 203 |
-
Results for
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision |
|
| 207 |
-
| Recall | 0.
|
| 208 |
-
| F1 | 0.
|
| 209 |
|
| 210 |
|
| 211 |
-
Results for
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision |
|
| 215 |
-
| Recall |
|
| 216 |
-
| F1 |
|
| 217 |
|
| 218 |
|
| 219 |
-
Results for
|
| 220 |
| | Segment Content | Segment Boundary |
|
| 221 |
|-----------+-------------------+--------------------|
|
| 222 |
| Precision | 1 | 1 |
|
|
@@ -224,11 +208,11 @@ Results for et: accuracy 1.0
|
|
| 224 |
| F1 | 1 | 1 |
|
| 225 |
|
| 226 |
|
| 227 |
-
Results for
|
| 228 |
| | Segment Content | Segment Boundary |
|
| 229 |
|-----------+-------------------+--------------------|
|
| 230 |
-
| Precision |
|
| 231 |
-
| Recall |
|
| 232 |
-
| F1 |
|
| 233 |
|
| 234 |
|
|
|
|
| 1 |
+
Mean accuracy: 0.9333386662521813.
|
| 2 |
|
| 3 |
+
Results for que: accuracy 0.8834355828220859
|
| 4 |
| | Segment Content | Segment Boundary |
|
| 5 |
|-----------+-------------------+--------------------|
|
| 6 |
+
| Precision | 0.898734 | 0.869048 |
|
| 7 |
+
| Recall | 0.865854 | 0.901235 |
|
| 8 |
+
| F1 | 0.881988 | 0.884848 |
|
| 9 |
|
| 10 |
|
| 11 |
+
Results for e: accuracy 0.9011627906976745
|
| 12 |
| | Segment Content | Segment Boundary |
|
| 13 |
|-----------+-------------------+--------------------|
|
| 14 |
+
| Precision | 0.826087 | 0.951456 |
|
| 15 |
+
| Recall | 0.919355 | 0.890909 |
|
| 16 |
+
| F1 | 0.870229 | 0.920188 |
|
| 17 |
|
| 18 |
|
| 19 |
+
Results for a: accuracy 0.9139784946236559
|
| 20 |
| | Segment Content | Segment Boundary |
|
| 21 |
|-----------+-------------------+--------------------|
|
| 22 |
+
| Precision | 0.961039 | 0.6875 |
|
| 23 |
+
| Recall | 0.936709 | 0.785714 |
|
| 24 |
+
| F1 | 0.948718 | 0.733333 |
|
| 25 |
|
| 26 |
|
| 27 |
+
Results for de: accuracy 0.9661016949152542
|
| 28 |
| | Segment Content | Segment Boundary |
|
| 29 |
|-----------+-------------------+--------------------|
|
| 30 |
+
| Precision | 1 | 0.555556 |
|
| 31 |
+
| Recall | 0.964602 | 1 |
|
| 32 |
+
| F1 | 0.981982 | 0.714286 |
|
| 33 |
|
| 34 |
|
| 35 |
+
Results for por: accuracy 0.8936170212765957
|
| 36 |
| | Segment Content | Segment Boundary |
|
| 37 |
|-----------+-------------------+--------------------|
|
| 38 |
+
| Precision | 0.909091 | 0.857143 |
|
| 39 |
+
| Recall | 0.9375 | 0.8 |
|
| 40 |
+
| F1 | 0.923077 | 0.827586 |
|
| 41 |
|
| 42 |
|
| 43 |
+
Results for ca: accuracy 1.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
| | Segment Content | Segment Boundary |
|
| 45 |
|-----------+-------------------+--------------------|
|
| 46 |
| Precision | 1 | 1 |
|
|
|
|
| 48 |
| F1 | 1 | 1 |
|
| 49 |
|
| 50 |
|
| 51 |
+
Results for q: accuracy 0.9642857142857143
|
| 52 |
| | Segment Content | Segment Boundary |
|
| 53 |
|-----------+-------------------+--------------------|
|
| 54 |
+
| Precision | 1 | 0.941176 |
|
| 55 |
+
| Recall | 0.916667 | 1 |
|
| 56 |
+
| F1 | 0.956522 | 0.969697 |
|
| 57 |
|
| 58 |
|
| 59 |
+
Results for o: accuracy 0.9466666666666667
|
| 60 |
| | Segment Content | Segment Boundary |
|
| 61 |
|-----------+-------------------+--------------------|
|
| 62 |
+
| Precision | 0.985714 | 0.4 |
|
| 63 |
+
| Recall | 0.958333 | 0.666667 |
|
| 64 |
+
| F1 | 0.971831 | 0.5 |
|
| 65 |
|
| 66 |
|
| 67 |
+
Results for em: accuracy 0.8888888888888888
|
| 68 |
| | Segment Content | Segment Boundary |
|
| 69 |
|-----------+-------------------+--------------------|
|
| 70 |
+
| Precision | 0.954545 | 0.6 |
|
| 71 |
+
| Recall | 0.913043 | 0.75 |
|
| 72 |
+
| F1 | 0.933333 | 0.666667 |
|
| 73 |
|
| 74 |
|
| 75 |
+
Results for per: accuracy 0.9512195121951219
|
| 76 |
| | Segment Content | Segment Boundary |
|
| 77 |
|-----------+-------------------+--------------------|
|
| 78 |
+
| Precision | 0.9375 | 1 |
|
| 79 |
+
| Recall | 1 | 0.818182 |
|
| 80 |
+
| F1 | 0.967742 | 0.9 |
|
| 81 |
|
| 82 |
|
| 83 |
+
Results for se: accuracy 0.9487179487179487
|
| 84 |
| | Segment Content | Segment Boundary |
|
| 85 |
|-----------+-------------------+--------------------|
|
| 86 |
+
| Precision | 1 | 0.75 |
|
| 87 |
+
| Recall | 0.939394 | 1 |
|
| 88 |
+
| F1 | 0.96875 | 0.857143 |
|
| 89 |
|
| 90 |
|
| 91 |
+
Results for como: accuracy 0.9545454545454546
|
| 92 |
| | Segment Content | Segment Boundary |
|
| 93 |
|-----------+-------------------+--------------------|
|
| 94 |
+
| Precision | 0.928571 | 1 |
|
| 95 |
+
| Recall | 1 | 0.888889 |
|
| 96 |
+
| F1 | 0.962963 | 0.941176 |
|
| 97 |
|
| 98 |
|
| 99 |
+
Results for com: accuracy 0.925
|
| 100 |
| | Segment Content | Segment Boundary |
|
| 101 |
|-----------+-------------------+--------------------|
|
| 102 |
+
| Precision | 0.941176 | 0.833333 |
|
| 103 |
+
| Recall | 0.969697 | 0.714286 |
|
| 104 |
+
| F1 | 0.955224 | 0.769231 |
|
| 105 |
|
| 106 |
|
| 107 |
+
Results for os: accuracy 1.0
|
| 108 |
| | Segment Content | Segment Boundary |
|
| 109 |
|-----------+-------------------+--------------------|
|
| 110 |
+
| Precision | 1 | 1 |
|
| 111 |
+
| Recall | 1 | 1 |
|
| 112 |
+
| F1 | 1 | 1 |
|
| 113 |
|
| 114 |
|
| 115 |
+
Results for n: accuracy 0.8181818181818182
|
| 116 |
| | Segment Content | Segment Boundary |
|
| 117 |
|-----------+-------------------+--------------------|
|
| 118 |
+
| Precision | 1 | 0.333333 |
|
| 119 |
+
| Recall | 0.8 | 1 |
|
| 120 |
+
| F1 | 0.888889 | 0.5 |
|
| 121 |
|
| 122 |
|
| 123 |
+
Results for quando: accuracy 1.0
|
| 124 |
| | Segment Content | Segment Boundary |
|
| 125 |
|-----------+-------------------+--------------------|
|
| 126 |
+
| Precision | 1 | 1 |
|
| 127 |
+
| Recall | 1 | 1 |
|
| 128 |
+
| F1 | 1 | 1 |
|
| 129 |
|
| 130 |
|
| 131 |
+
Results for ou: accuracy 0.8695652173913043
|
| 132 |
| | Segment Content | Segment Boundary |
|
| 133 |
|-----------+-------------------+--------------------|
|
| 134 |
+
| Precision | 0.842105 | 1 |
|
| 135 |
+
| Recall | 1 | 0.571429 |
|
| 136 |
+
| F1 | 0.914286 | 0.727273 |
|
| 137 |
|
| 138 |
|
| 139 |
+
Results for as: accuracy 1.0
|
| 140 |
| | Segment Content | Segment Boundary |
|
| 141 |
|-----------+-------------------+--------------------|
|
| 142 |
| Precision | 1 | 1 |
|
|
|
|
| 144 |
| F1 | 1 | 1 |
|
| 145 |
|
| 146 |
|
| 147 |
+
Results for c: accuracy 0.8888888888888888
|
| 148 |
| | Segment Content | Segment Boundary |
|
| 149 |
|-----------+-------------------+--------------------|
|
| 150 |
+
| Precision | 1 | 0.5 |
|
| 151 |
+
| Recall | 0.875 | 1 |
|
| 152 |
+
| F1 | 0.933333 | 0.666667 |
|
| 153 |
|
| 154 |
|
| 155 |
+
Results for dos: accuracy 1.0
|
| 156 |
| | Segment Content | Segment Boundary |
|
| 157 |
|-----------+-------------------+--------------------|
|
| 158 |
| Precision | 1 | 1 |
|
|
|
|
| 160 |
| F1 | 1 | 1 |
|
| 161 |
|
| 162 |
|
| 163 |
+
Results for todos: accuracy 0.9090909090909091
|
| 164 |
| | Segment Content | Segment Boundary |
|
| 165 |
|-----------+-------------------+--------------------|
|
| 166 |
+
| Precision | 1 | 0.75 |
|
| 167 |
+
| Recall | 0.875 | 1 |
|
| 168 |
+
| F1 | 0.933333 | 0.857143 |
|
| 169 |
|
| 170 |
|
| 171 |
+
Results for disse: accuracy 1.0
|
| 172 |
| | Segment Content | Segment Boundary |
|
| 173 |
|-----------+-------------------+--------------------|
|
| 174 |
+
| Precision | 1 | 1 |
|
| 175 |
+
| Recall | 1 | 1 |
|
| 176 |
+
| F1 | 1 | 1 |
|
| 177 |
|
| 178 |
|
| 179 |
+
Results for f: accuracy 1.0
|
| 180 |
| | Segment Content | Segment Boundary |
|
| 181 |
|-----------+-------------------+--------------------|
|
| 182 |
| Precision | 1 | 1 |
|
|
|
|
| 184 |
| F1 | 1 | 1 |
|
| 185 |
|
| 186 |
|
| 187 |
+
Results for nom: accuracy 0.9444444444444444
|
| 188 |
| | Segment Content | Segment Boundary |
|
| 189 |
|-----------+-------------------+--------------------|
|
| 190 |
+
| Precision | 0.933333 | 1 |
|
| 191 |
+
| Recall | 1 | 0.75 |
|
| 192 |
+
| F1 | 0.965517 | 0.857143 |
|
| 193 |
|
| 194 |
|
| 195 |
+
Results for mais: accuracy 0.8823529411764706
|
| 196 |
| | Segment Content | Segment Boundary |
|
| 197 |
|-----------+-------------------+--------------------|
|
| 198 |
+
| Precision | 0.928571 | 0.666667 |
|
| 199 |
+
| Recall | 0.928571 | 0.666667 |
|
| 200 |
+
| F1 | 0.928571 | 0.666667 |
|
| 201 |
|
| 202 |
|
| 203 |
+
Results for nem: accuracy 1.0
|
| 204 |
| | Segment Content | Segment Boundary |
|
| 205 |
|-----------+-------------------+--------------------|
|
| 206 |
| Precision | 1 | 1 |
|
|
|
|
| 208 |
| F1 | 1 | 1 |
|
| 209 |
|
| 210 |
|
| 211 |
+
Results for hu: accuracy 0.75
|
| 212 |
| | Segment Content | Segment Boundary |
|
| 213 |
|-----------+-------------------+--------------------|
|
| 214 |
+
| Precision | 1 | 0.333333 |
|
| 215 |
+
| Recall | 0.714286 | 1 |
|
| 216 |
+
| F1 | 0.833333 | 0.5 |
|
| 217 |
|
| 218 |
|
metrics.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"loss": 0.0046, "grad_norm": 0.07699564099311829, "learning_rate": 4.4000000000000006e-05, "epoch": 6.0, "step": 360, "eval_loss": 0.010619055479764938, "eval_accurracy": {"accuracy": 0.9964112146950224}, "eval_recall": [0.9854655117681738, 0.9145922746781115, 1.0], "eval_precision": [0.9909254656968923, 0.8692637160921884, 1.0], "eval_f1": [0.9881879469310263, 0.8913520861654293, 1.0], "eval_runtime": 9.0321, "eval_samples_per_second": 77.612, "eval_steps_per_second": 0.886}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 709083980
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:55bbf3ceae134f1cc2ad0c57efca348da2823746a6d5b6e97e596193c04d363e
|
| 3 |
size 709083980
|
model_name
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
google-bert/bert-base-multilingual-cased
|
optimizer.pt
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 sha256:3b836f30893427e221487e575727921a7478c6f139bdfdec378b1cd1a539df28
|
| 3 |
+
size 1418288139
|
results/out-of-domain/HTR/results.txt → results.txt
RENAMED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
Best model on test data
|
| 2 |
| | Segment Content | Segment Boundary |
|
| 3 |
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.
|
| 5 |
-
| Recall | 0.
|
| 6 |
-
| F1 | 0.
|
|
|
|
| 1 |
Best model on test data
|
| 2 |
| | Segment Content | Segment Boundary |
|
| 3 |
|-----------+-------------------+--------------------|
|
| 4 |
+
| Precision | 0.99073 | 0.884803 |
|
| 5 |
+
| Recall | 0.986411 | 0.91858 |
|
| 6 |
+
| F1 | 0.988566 | 0.901375 |
|
results/in-domain/best_model.ca.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for ca:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.978373 | 0.861314 |
|
| 5 |
-
| Recall | 0.979631 | 0.853835 |
|
| 6 |
-
| F1 | 0.979001 | 0.857558 |
|
| 7 |
-
Best model on test data for ca:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.978373 | 0.861314 |
|
| 11 |
-
| Recall | 0.979631 | 0.853835 |
|
| 12 |
-
| F1 | 0.979001 | 0.857558 |
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
results/in-domain/best_model.en.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for en:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.971703 | 0.845269 |
|
| 5 |
-
| Recall | 0.966922 | 0.865183 |
|
| 6 |
-
| F1 | 0.969307 | 0.85511 |
|
| 7 |
-
Best model on test data for en:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.971703 | 0.845269 |
|
| 11 |
-
| Recall | 0.966922 | 0.865183 |
|
| 12 |
-
| F1 | 0.969307 | 0.85511 |
|
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|
results/in-domain/best_model.es.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for es:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.972258 | 0.865789 |
|
| 5 |
-
| Recall | 0.971719 | 0.868074 |
|
| 6 |
-
| F1 | 0.971989 | 0.86693 |
|
| 7 |
-
Best model on test data for es:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.972258 | 0.865789 |
|
| 11 |
-
| Recall | 0.971719 | 0.868074 |
|
| 12 |
-
| F1 | 0.971989 | 0.86693 |
|
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results/in-domain/best_model.fr.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for fr:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.991857 | 0.916451 |
|
| 5 |
-
| Recall | 0.987319 | 0.944938 |
|
| 6 |
-
| F1 | 0.989583 | 0.930477 |
|
| 7 |
-
Best model on test data for fr:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.991857 | 0.916451 |
|
| 11 |
-
| Recall | 0.987319 | 0.944938 |
|
| 12 |
-
| F1 | 0.989583 | 0.930477 |
|
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|
results/in-domain/best_model.it.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for it:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.981437 | 0.861176 |
|
| 5 |
-
| Recall | 0.979753 | 0.871429 |
|
| 6 |
-
| F1 | 0.980594 | 0.866272 |
|
| 7 |
-
Best model on test data for it:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.981437 | 0.861176 |
|
| 11 |
-
| Recall | 0.979753 | 0.871429 |
|
| 12 |
-
| F1 | 0.980594 | 0.866272 |
|
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|
results/in-domain/best_model.la.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for la:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.976256 | 0.848318 |
|
| 5 |
-
| Recall | 0.966692 | 0.887931 |
|
| 6 |
-
| F1 | 0.97145 | 0.867673 |
|
| 7 |
-
Best model on test data for la:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.976256 | 0.848318 |
|
| 11 |
-
| Recall | 0.966692 | 0.887931 |
|
| 12 |
-
| F1 | 0.97145 | 0.867673 |
|
|
|
|
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|
results/in-domain/best_model.pt.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for pt:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.972987 | 0.900092 |
|
| 5 |
-
| Recall | 0.981207 | 0.861404 |
|
| 6 |
-
| F1 | 0.97708 | 0.880323 |
|
| 7 |
-
Best model on test data for pt:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.972987 | 0.900092 |
|
| 11 |
-
| Recall | 0.981207 | 0.861404 |
|
| 12 |
-
| F1 | 0.97708 | 0.880323 |
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
results/in-domain/resultats_ambiguite_en.txt
DELETED
|
@@ -1,218 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.9073291428020792.
|
| 2 |
-
|
| 3 |
-
Results for and: accuracy 0.8802083333333334
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.760563 | 0.950413 |
|
| 7 |
-
| Recall | 0.9 | 0.871212 |
|
| 8 |
-
| F1 | 0.824427 | 0.909091 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for that: accuracy 0.8650793650793651
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.745098 | 0.946667 |
|
| 15 |
-
| Recall | 0.904762 | 0.845238 |
|
| 16 |
-
| F1 | 0.817204 | 0.893082 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for to: accuracy 0.8561643835616438
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.88785 | 0.769231 |
|
| 23 |
-
| Recall | 0.913462 | 0.714286 |
|
| 24 |
-
| F1 | 0.900474 | 0.740741 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for as: accuracy 0.8823529411764706
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.875 | 0.888889 |
|
| 31 |
-
| Recall | 0.875 | 0.888889 |
|
| 32 |
-
| F1 | 0.875 | 0.888889 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for of: accuracy 0.835820895522388
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.873874 | 0.652174 |
|
| 39 |
-
| Recall | 0.92381 | 0.517241 |
|
| 40 |
-
| F1 | 0.898148 | 0.576923 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for the: accuracy 0.9943502824858758
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.994186 | 1 |
|
| 47 |
-
| Recall | 1 | 0.833333 |
|
| 48 |
-
| F1 | 0.997085 | 0.909091 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for þ: accuracy 0.928
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.962963 | 0.705882 |
|
| 55 |
-
| Recall | 0.954128 | 0.75 |
|
| 56 |
-
| F1 | 0.958525 | 0.727273 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for in: accuracy 0.7702702702702703
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.872727 | 0.473684 |
|
| 63 |
-
| Recall | 0.827586 | 0.5625 |
|
| 64 |
-
| F1 | 0.849558 | 0.514286 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for he: accuracy 0.9850746268656716
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.982143 | 1 |
|
| 71 |
-
| Recall | 1 | 0.916667 |
|
| 72 |
-
| F1 | 0.990991 | 0.956522 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for w: accuracy 0.9722222222222222
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 1 | 0.916667 |
|
| 79 |
-
| Recall | 0.96 | 1 |
|
| 80 |
-
| F1 | 0.979592 | 0.956522 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for for: accuracy 0.9361702127659575
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.916667 | 0.942857 |
|
| 87 |
-
| Recall | 0.846154 | 0.970588 |
|
| 88 |
-
| F1 | 0.88 | 0.956522 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for is: accuracy 0.8444444444444444
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.941176 | 0.545455 |
|
| 95 |
-
| Recall | 0.864865 | 0.75 |
|
| 96 |
-
| F1 | 0.901408 | 0.631579 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for I: accuracy 0.9473684210526315
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 0.875 | 1 |
|
| 103 |
-
| Recall | 1 | 0.916667 |
|
| 104 |
-
| F1 | 0.933333 | 0.956522 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for by: accuracy 0.9583333333333334
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 1 | 0.888889 |
|
| 111 |
-
| Recall | 0.9375 | 1 |
|
| 112 |
-
| F1 | 0.967742 | 0.941176 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for than: accuracy 1.0
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 1 | 1 |
|
| 119 |
-
| Recall | 1 | 1 |
|
| 120 |
-
| F1 | 1 | 1 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for a: accuracy 1.0
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 1 | 1 |
|
| 127 |
-
| Recall | 1 | 1 |
|
| 128 |
-
| F1 | 1 | 1 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for was: accuracy 0.8709677419354839
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.96 | 0.5 |
|
| 135 |
-
| Recall | 0.888889 | 0.75 |
|
| 136 |
-
| F1 | 0.923077 | 0.6 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for men: accuracy 0.9047619047619048
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 1 | 0.666667 |
|
| 143 |
-
| Recall | 0.882353 | 1 |
|
| 144 |
-
| F1 | 0.9375 | 0.8 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for so: accuracy 0.9259259259259259
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 0.956522 | 0.75 |
|
| 151 |
-
| Recall | 0.956522 | 0.75 |
|
| 152 |
-
| F1 | 0.956522 | 0.75 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for s: accuracy 0.9310344827586207
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 0.961538 | 0.666667 |
|
| 159 |
-
| Recall | 0.961538 | 0.666667 |
|
| 160 |
-
| F1 | 0.961538 | 0.666667 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for they: accuracy 0.9642857142857143
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 1 | 0.666667 |
|
| 167 |
-
| Recall | 0.961538 | 1 |
|
| 168 |
-
| F1 | 0.980392 | 0.8 |
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
Results for we: accuracy 1.0
|
| 172 |
-
| | Segment Content | Segment Boundary |
|
| 173 |
-
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 1 | 1 |
|
| 175 |
-
| Recall | 1 | 1 |
|
| 176 |
-
| F1 | 1 | 1 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
Results for Y: accuracy 0.8888888888888888
|
| 180 |
-
| | Segment Content | Segment Boundary |
|
| 181 |
-
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 1 | 0.8 |
|
| 183 |
-
| Recall | 0.8 | 1 |
|
| 184 |
-
| F1 | 0.888889 | 0.888889 |
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
Results for sh: accuracy 0.95
|
| 188 |
-
| | Segment Content | Segment Boundary |
|
| 189 |
-
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 1 | 0.666667 |
|
| 191 |
-
| Recall | 0.944444 | 1 |
|
| 192 |
-
| F1 | 0.971429 | 0.8 |
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
Results for fr: accuracy 0.8823529411764706
|
| 196 |
-
| | Segment Content | Segment Boundary |
|
| 197 |
-
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 0.857143 | 1 |
|
| 199 |
-
| Recall | 1 | 0.6 |
|
| 200 |
-
| F1 | 0.923077 | 0.75 |
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
Results for alle: accuracy 0.8571428571428571
|
| 204 |
-
| | Segment Content | Segment Boundary |
|
| 205 |
-
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision | 0.818182 | 1 |
|
| 207 |
-
| Recall | 1 | 0.6 |
|
| 208 |
-
| F1 | 0.9 | 0.75 |
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
Results for f: accuracy 0.6666666666666666
|
| 212 |
-
| | Segment Content | Segment Boundary |
|
| 213 |
-
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 1 | 0.5 |
|
| 215 |
-
| Recall | 0.5 | 1 |
|
| 216 |
-
| F1 | 0.666667 | 0.666667 |
|
| 217 |
-
|
| 218 |
-
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|
results/in-domain/resultats_ambiguite_es.txt
DELETED
|
@@ -1,386 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.9086504051957734.
|
| 2 |
-
|
| 3 |
-
Results for que: accuracy 0.8821428571428571
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.821053 | 0.913514 |
|
| 7 |
-
| Recall | 0.829787 | 0.908602 |
|
| 8 |
-
| F1 | 0.825397 | 0.911051 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for por: accuracy 0.865979381443299
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.853659 | 0.875 |
|
| 15 |
-
| Recall | 0.833333 | 0.890909 |
|
| 16 |
-
| F1 | 0.843373 | 0.882883 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for de: accuracy 0.9216417910447762
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.963265 | 0.478261 |
|
| 23 |
-
| Recall | 0.951613 | 0.55 |
|
| 24 |
-
| F1 | 0.957404 | 0.511628 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for &: accuracy 0.875
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.74359 | 0.927835 |
|
| 31 |
-
| Recall | 0.805556 | 0.9 |
|
| 32 |
-
| F1 | 0.773333 | 0.913706 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for e: accuracy 0.9155844155844156
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.864865 | 0.931624 |
|
| 39 |
-
| Recall | 0.8 | 0.95614 |
|
| 40 |
-
| F1 | 0.831169 | 0.943723 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for mas: accuracy 0.9387755102040817
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.95 | 0.931034 |
|
| 47 |
-
| Recall | 0.904762 | 0.964286 |
|
| 48 |
-
| F1 | 0.926829 | 0.947368 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for y: accuracy 0.9047619047619048
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.761905 | 0.97619 |
|
| 55 |
-
| Recall | 0.941176 | 0.891304 |
|
| 56 |
-
| F1 | 0.842105 | 0.931818 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for a: accuracy 0.8468468468468469
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.891304 | 0.631579 |
|
| 63 |
-
| Recall | 0.921348 | 0.545455 |
|
| 64 |
-
| F1 | 0.906077 | 0.585366 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for et: accuracy 0.8222222222222222
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.588235 | 0.964286 |
|
| 71 |
-
| Recall | 0.909091 | 0.794118 |
|
| 72 |
-
| F1 | 0.714286 | 0.870968 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for en: accuracy 0.9142857142857143
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.942529 | 0.777778 |
|
| 79 |
-
| Recall | 0.953488 | 0.736842 |
|
| 80 |
-
| F1 | 0.947977 | 0.756757 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for el: accuracy 0.9781021897810219
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.976744 | 1 |
|
| 87 |
-
| Recall | 1 | 0.727273 |
|
| 88 |
-
| F1 | 0.988235 | 0.842105 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for la: accuracy 0.9922480620155039
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 1 | 0.9 |
|
| 95 |
-
| Recall | 0.991667 | 1 |
|
| 96 |
-
| F1 | 0.995816 | 0.947368 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for ca: accuracy 1.0
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 1 | 1 |
|
| 103 |
-
| Recall | 1 | 1 |
|
| 104 |
-
| F1 | 1 | 1 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for con: accuracy 0.9473684210526315
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.967213 | 0.866667 |
|
| 111 |
-
| Recall | 0.967213 | 0.866667 |
|
| 112 |
-
| F1 | 0.967213 | 0.866667 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for dixo: accuracy 0.7735849056603774
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 0.75 | 0.846154 |
|
| 119 |
-
| Recall | 0.9375 | 0.52381 |
|
| 120 |
-
| F1 | 0.833333 | 0.647059 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for los: accuracy 0.9493670886075949
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 0.973333 | 0.5 |
|
| 127 |
-
| Recall | 0.973333 | 0.5 |
|
| 128 |
-
| F1 | 0.973333 | 0.5 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for señor: accuracy 0.8260869565217391
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.857143 | 0.777778 |
|
| 135 |
-
| Recall | 0.857143 | 0.777778 |
|
| 136 |
-
| F1 | 0.857143 | 0.777778 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for si: accuracy 0.96875
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 0.954545 | 1 |
|
| 143 |
-
| Recall | 1 | 0.909091 |
|
| 144 |
-
| F1 | 0.976744 | 0.952381 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for se: accuracy 0.9245283018867925
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 0.978261 | 0.571429 |
|
| 151 |
-
| Recall | 0.9375 | 0.8 |
|
| 152 |
-
| F1 | 0.957447 | 0.666667 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for no: accuracy 0.9152542372881356
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 0.925926 | 0.8 |
|
| 159 |
-
| Recall | 0.980392 | 0.5 |
|
| 160 |
-
| F1 | 0.952381 | 0.615385 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for yo: accuracy 0.9777777777777777
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 0.972973 | 1 |
|
| 167 |
-
| Recall | 1 | 0.888889 |
|
| 168 |
-
| F1 | 0.986301 | 0.941176 |
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
Results for lo: accuracy 0.9482758620689655
|
| 172 |
-
| | Segment Content | Segment Boundary |
|
| 173 |
-
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 0.962963 | 0.75 |
|
| 175 |
-
| Recall | 0.981132 | 0.6 |
|
| 176 |
-
| F1 | 0.971963 | 0.666667 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
Results for como: accuracy 0.9
|
| 180 |
-
| | Segment Content | Segment Boundary |
|
| 181 |
-
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 0.952381 | 0.777778 |
|
| 183 |
-
| Recall | 0.909091 | 0.875 |
|
| 184 |
-
| F1 | 0.930233 | 0.823529 |
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
Results for non: accuracy 0.967741935483871
|
| 188 |
-
| | Segment Content | Segment Boundary |
|
| 189 |
-
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 0.96 | 1 |
|
| 191 |
-
| Recall | 1 | 0.857143 |
|
| 192 |
-
| F1 | 0.979592 | 0.923077 |
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
Results for es: accuracy 1.0
|
| 196 |
-
| | Segment Content | Segment Boundary |
|
| 197 |
-
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 1 | 1 |
|
| 199 |
-
| Recall | 1 | 1 |
|
| 200 |
-
| F1 | 1 | 1 |
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
Results for segun: accuracy 0.8181818181818182
|
| 204 |
-
| | Segment Content | Segment Boundary |
|
| 205 |
-
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision | 0.8 | 0.833333 |
|
| 207 |
-
| Recall | 0.8 | 0.833333 |
|
| 208 |
-
| F1 | 0.8 | 0.833333 |
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
Results for muy: accuracy 0.8333333333333334
|
| 212 |
-
| | Segment Content | Segment Boundary |
|
| 213 |
-
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 0.961538 | 0 |
|
| 215 |
-
| Recall | 0.862069 | 0 |
|
| 216 |
-
| F1 | 0.909091 | 0 |
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
Results for porque: accuracy 1.0
|
| 220 |
-
| | Segment Content | Segment Boundary |
|
| 221 |
-
|-----------+-------------------+--------------------|
|
| 222 |
-
| Precision | 1 | 1 |
|
| 223 |
-
| Recall | 1 | 1 |
|
| 224 |
-
| F1 | 1 | 1 |
|
| 225 |
-
|
| 226 |
-
|
| 227 |
-
Results for des: accuracy 1.0
|
| 228 |
-
| | Segment Content | Segment Boundary |
|
| 229 |
-
|-----------+-------------------+--------------------|
|
| 230 |
-
| Precision | 1 | 1 |
|
| 231 |
-
| Recall | 1 | 1 |
|
| 232 |
-
| F1 | 1 | 1 |
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
Results for qui: accuracy 0.9047619047619048
|
| 236 |
-
| | Segment Content | Segment Boundary |
|
| 237 |
-
|-----------+-------------------+--------------------|
|
| 238 |
-
| Precision | 0.882353 | 1 |
|
| 239 |
-
| Recall | 1 | 0.666667 |
|
| 240 |
-
| F1 | 0.9375 | 0.8 |
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
Results for sobre: accuracy 1.0
|
| 244 |
-
| | Segment Content | Segment Boundary |
|
| 245 |
-
|-----------+-------------------+--------------------|
|
| 246 |
-
| Precision | 1 | 1 |
|
| 247 |
-
| Recall | 1 | 1 |
|
| 248 |
-
| F1 | 1 | 1 |
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
Results for todo: accuracy 1.0
|
| 252 |
-
| | Segment Content | Segment Boundary |
|
| 253 |
-
|-----------+-------------------+--------------------|
|
| 254 |
-
| Precision | 1 | 1 |
|
| 255 |
-
| Recall | 1 | 1 |
|
| 256 |
-
| F1 | 1 | 1 |
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
Results for ass: accuracy 0.9
|
| 260 |
-
| | Segment Content | Segment Boundary |
|
| 261 |
-
|-----------+-------------------+--------------------|
|
| 262 |
-
| Precision | 1 | 0.75 |
|
| 263 |
-
| Recall | 0.857143 | 1 |
|
| 264 |
-
| F1 | 0.923077 | 0.857143 |
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
Results for quando: accuracy 0.9090909090909091
|
| 268 |
-
| | Segment Content | Segment Boundary |
|
| 269 |
-
|-----------+-------------------+--------------------|
|
| 270 |
-
| Precision | 1 | 0.75 |
|
| 271 |
-
| Recall | 0.875 | 1 |
|
| 272 |
-
| F1 | 0.933333 | 0.857143 |
|
| 273 |
-
|
| 274 |
-
|
| 275 |
-
Results for com: accuracy 1.0
|
| 276 |
-
| | Segment Content | Segment Boundary |
|
| 277 |
-
|-----------+-------------------+--------------------|
|
| 278 |
-
| Precision | 1 | 1 |
|
| 279 |
-
| Recall | 1 | 1 |
|
| 280 |
-
| F1 | 1 | 1 |
|
| 281 |
-
|
| 282 |
-
|
| 283 |
-
Results for nin: accuracy 0.9166666666666666
|
| 284 |
-
| | Segment Content | Segment Boundary |
|
| 285 |
-
|-----------+-------------------+--------------------|
|
| 286 |
-
| Precision | 1 | 0.875 |
|
| 287 |
-
| Recall | 0.8 | 1 |
|
| 288 |
-
| F1 | 0.888889 | 0.933333 |
|
| 289 |
-
|
| 290 |
-
|
| 291 |
-
Results for tan: accuracy 0.8823529411764706
|
| 292 |
-
| | Segment Content | Segment Boundary |
|
| 293 |
-
|-----------+-------------------+--------------------|
|
| 294 |
-
| Precision | 1 | 0.333333 |
|
| 295 |
-
| Recall | 0.875 | 1 |
|
| 296 |
-
| F1 | 0.933333 | 0.5 |
|
| 297 |
-
|
| 298 |
-
|
| 299 |
-
Results for o: accuracy 0.8571428571428571
|
| 300 |
-
| | Segment Content | Segment Boundary |
|
| 301 |
-
|-----------+-------------------+--------------------|
|
| 302 |
-
| Precision | 0.909091 | 0.666667 |
|
| 303 |
-
| Recall | 0.909091 | 0.666667 |
|
| 304 |
-
| F1 | 0.909091 | 0.666667 |
|
| 305 |
-
|
| 306 |
-
|
| 307 |
-
Results for ene: accuracy 0.8571428571428571
|
| 308 |
-
| | Segment Content | Segment Boundary |
|
| 309 |
-
|-----------+-------------------+--------------------|
|
| 310 |
-
| Precision | 1 | 0.333333 |
|
| 311 |
-
| Recall | 0.846154 | 1 |
|
| 312 |
-
| F1 | 0.916667 | 0.5 |
|
| 313 |
-
|
| 314 |
-
|
| 315 |
-
Results for mucho: accuracy 0.9230769230769231
|
| 316 |
-
| | Segment Content | Segment Boundary |
|
| 317 |
-
|-----------+-------------------+--------------------|
|
| 318 |
-
| Precision | 1 | 0.666667 |
|
| 319 |
-
| Recall | 0.909091 | 1 |
|
| 320 |
-
| F1 | 0.952381 | 0.8 |
|
| 321 |
-
|
| 322 |
-
|
| 323 |
-
Results for ab: accuracy 1.0
|
| 324 |
-
| | Segment Content | Segment Boundary |
|
| 325 |
-
|-----------+-------------------+--------------------|
|
| 326 |
-
| Precision | 1 | 1 |
|
| 327 |
-
| Recall | 1 | 1 |
|
| 328 |
-
| F1 | 1 | 1 |
|
| 329 |
-
|
| 330 |
-
|
| 331 |
-
Results for ala: accuracy 0.8333333333333334
|
| 332 |
-
| | Segment Content | Segment Boundary |
|
| 333 |
-
|-----------+-------------------+--------------------|
|
| 334 |
-
| Precision | 1 | 0.333333 |
|
| 335 |
-
| Recall | 0.818182 | 1 |
|
| 336 |
-
| F1 | 0.9 | 0.5 |
|
| 337 |
-
|
| 338 |
-
|
| 339 |
-
Results for Ca: accuracy 1.0
|
| 340 |
-
| | Segment Content | Segment Boundary |
|
| 341 |
-
|-----------+-------------------+--------------------|
|
| 342 |
-
| Precision | 1 | 1 |
|
| 343 |
-
| Recall | 1 | 1 |
|
| 344 |
-
| F1 | 1 | 1 |
|
| 345 |
-
|
| 346 |
-
|
| 347 |
-
Results for asi: accuracy 1.0
|
| 348 |
-
| | Segment Content | Segment Boundary |
|
| 349 |
-
|-----------+-------------------+--------------------|
|
| 350 |
-
| Precision | 1 | 1 |
|
| 351 |
-
| Recall | 1 | 1 |
|
| 352 |
-
| F1 | 1 | 1 |
|
| 353 |
-
|
| 354 |
-
|
| 355 |
-
Results for quien: accuracy 0.8571428571428571
|
| 356 |
-
| | Segment Content | Segment Boundary |
|
| 357 |
-
|-----------+-------------------+--------------------|
|
| 358 |
-
| Precision | 1 | 0.666667 |
|
| 359 |
-
| Recall | 0.8 | 1 |
|
| 360 |
-
| F1 | 0.888889 | 0.8 |
|
| 361 |
-
|
| 362 |
-
|
| 363 |
-
Results for dix: accuracy 0.6666666666666666
|
| 364 |
-
| | Segment Content | Segment Boundary |
|
| 365 |
-
|-----------+-------------------+--------------------|
|
| 366 |
-
| Precision | 0.666667 | 0.666667 |
|
| 367 |
-
| Recall | 0.8 | 0.5 |
|
| 368 |
-
| F1 | 0.727273 | 0.571429 |
|
| 369 |
-
|
| 370 |
-
|
| 371 |
-
Results for contra: accuracy 0.625
|
| 372 |
-
| | Segment Content | Segment Boundary |
|
| 373 |
-
|-----------+-------------------+--------------------|
|
| 374 |
-
| Precision | 1 | 0 |
|
| 375 |
-
| Recall | 0.625 | 0 |
|
| 376 |
-
| F1 | 0.769231 | 0 |
|
| 377 |
-
|
| 378 |
-
|
| 379 |
-
Results for para: accuracy 0.875
|
| 380 |
-
| | Segment Content | Segment Boundary |
|
| 381 |
-
|-----------+-------------------+--------------------|
|
| 382 |
-
| Precision | 1 | 0.666667 |
|
| 383 |
-
| Recall | 0.833333 | 1 |
|
| 384 |
-
| F1 | 0.909091 | 0.8 |
|
| 385 |
-
|
| 386 |
-
|
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|
results/in-domain/resultats_ambiguite_la.txt
DELETED
|
@@ -1,546 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.9241947457666735.
|
| 2 |
-
|
| 3 |
-
Results for et: accuracy 0.8353293413173652
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.762712 | 0.917197 |
|
| 7 |
-
| Recall | 0.912162 | 0.774194 |
|
| 8 |
-
| F1 | 0.830769 | 0.83965 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for qui: accuracy 0.9222222222222223
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.902439 | 0.938776 |
|
| 15 |
-
| Recall | 0.925 | 0.92 |
|
| 16 |
-
| F1 | 0.91358 | 0.929293 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for ut: accuracy 0.891566265060241
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 0.842105 | 0.933333 |
|
| 23 |
-
| Recall | 0.914286 | 0.875 |
|
| 24 |
-
| F1 | 0.876712 | 0.903226 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for in: accuracy 0.912621359223301
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.923567 | 0.877551 |
|
| 31 |
-
| Recall | 0.960265 | 0.781818 |
|
| 32 |
-
| F1 | 0.941558 | 0.826923 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for sic: accuracy 0.9375
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.866667 | 1 |
|
| 39 |
-
| Recall | 1 | 0.894737 |
|
| 40 |
-
| F1 | 0.928571 | 0.944444 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for ne: accuracy 0.8518518518518519
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.785714 | 0.923077 |
|
| 47 |
-
| Recall | 0.916667 | 0.8 |
|
| 48 |
-
| F1 | 0.846154 | 0.857143 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for vel: accuracy 0.6296296296296297
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 0.461538 | 0.785714 |
|
| 55 |
-
| Recall | 0.666667 | 0.611111 |
|
| 56 |
-
| F1 | 0.545455 | 0.6875 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for quod: accuracy 0.9324324324324325
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 0.884615 | 0.958333 |
|
| 63 |
-
| Recall | 0.92 | 0.938776 |
|
| 64 |
-
| F1 | 0.901961 | 0.948454 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for quo: accuracy 0.9117647058823529
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 0.947368 | 0.866667 |
|
| 71 |
-
| Recall | 0.9 | 0.928571 |
|
| 72 |
-
| F1 | 0.923077 | 0.896552 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for de: accuracy 0.926829268292683
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 0.941748 | 0.85 |
|
| 79 |
-
| Recall | 0.97 | 0.73913 |
|
| 80 |
-
| F1 | 0.955665 | 0.790698 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for cum: accuracy 0.8695652173913043
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.818182 | 0.916667 |
|
| 87 |
-
| Recall | 0.9 | 0.846154 |
|
| 88 |
-
| F1 | 0.857143 | 0.88 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for ad: accuracy 0.875
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.927536 | 0.684211 |
|
| 95 |
-
| Recall | 0.914286 | 0.722222 |
|
| 96 |
-
| F1 | 0.920863 | 0.702703 |
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
Results for Et: accuracy 0.9523809523809523
|
| 100 |
-
| | Segment Content | Segment Boundary |
|
| 101 |
-
|-----------+-------------------+--------------------|
|
| 102 |
-
| Precision | 0.9 | 1 |
|
| 103 |
-
| Recall | 1 | 0.916667 |
|
| 104 |
-
| F1 | 0.947368 | 0.956522 |
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
Results for quam: accuracy 0.9393939393939394
|
| 108 |
-
| | Segment Content | Segment Boundary |
|
| 109 |
-
|-----------+-------------------+--------------------|
|
| 110 |
-
| Precision | 0.846154 | 1 |
|
| 111 |
-
| Recall | 1 | 0.909091 |
|
| 112 |
-
| F1 | 0.916667 | 0.952381 |
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
Results for non: accuracy 0.972972972972973
|
| 116 |
-
| | Segment Content | Segment Boundary |
|
| 117 |
-
|-----------+-------------------+--------------------|
|
| 118 |
-
| Precision | 0.983333 | 0.928571 |
|
| 119 |
-
| Recall | 0.983333 | 0.928571 |
|
| 120 |
-
| F1 | 0.983333 | 0.928571 |
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
Results for si: accuracy 0.8775510204081632
|
| 124 |
-
| | Segment Content | Segment Boundary |
|
| 125 |
-
|-----------+-------------------+--------------------|
|
| 126 |
-
| Precision | 0.885714 | 0.857143 |
|
| 127 |
-
| Recall | 0.939394 | 0.75 |
|
| 128 |
-
| F1 | 0.911765 | 0.8 |
|
| 129 |
-
|
| 130 |
-
|
| 131 |
-
Results for quae: accuracy 0.8148148148148148
|
| 132 |
-
| | Segment Content | Segment Boundary |
|
| 133 |
-
|-----------+-------------------+--------------------|
|
| 134 |
-
| Precision | 0.818182 | 0.8125 |
|
| 135 |
-
| Recall | 0.75 | 0.866667 |
|
| 136 |
-
| F1 | 0.782609 | 0.83871 |
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
Results for per: accuracy 0.9154929577464789
|
| 140 |
-
| | Segment Content | Segment Boundary |
|
| 141 |
-
|-----------+-------------------+--------------------|
|
| 142 |
-
| Precision | 0.932203 | 0.833333 |
|
| 143 |
-
| Recall | 0.964912 | 0.714286 |
|
| 144 |
-
| F1 | 0.948276 | 0.769231 |
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
Results for ex: accuracy 0.9583333333333334
|
| 148 |
-
| | Segment Content | Segment Boundary |
|
| 149 |
-
|-----------+-------------------+--------------------|
|
| 150 |
-
| Precision | 0.967742 | 0.9 |
|
| 151 |
-
| Recall | 0.983607 | 0.818182 |
|
| 152 |
-
| F1 | 0.97561 | 0.857143 |
|
| 153 |
-
|
| 154 |
-
|
| 155 |
-
Results for est: accuracy 0.9625
|
| 156 |
-
| | Segment Content | Segment Boundary |
|
| 157 |
-
|-----------+-------------------+--------------------|
|
| 158 |
-
| Precision | 0.973333 | 0.8 |
|
| 159 |
-
| Recall | 0.986486 | 0.666667 |
|
| 160 |
-
| F1 | 0.979866 | 0.727273 |
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
Results for con: accuracy 0.9032258064516129
|
| 164 |
-
| | Segment Content | Segment Boundary |
|
| 165 |
-
|-----------+-------------------+--------------------|
|
| 166 |
-
| Precision | 0.980769 | 0.5 |
|
| 167 |
-
| Recall | 0.910714 | 0.833333 |
|
| 168 |
-
| F1 | 0.944444 | 0.625 |
|
| 169 |
-
|
| 170 |
-
|
| 171 |
-
Results for (: accuracy 0.7368421052631579
|
| 172 |
-
| | Segment Content | Segment Boundary |
|
| 173 |
-
|-----------+-------------------+--------------------|
|
| 174 |
-
| Precision | 0.818182 | 0.625 |
|
| 175 |
-
| Recall | 0.75 | 0.714286 |
|
| 176 |
-
| F1 | 0.782609 | 0.666667 |
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
Results for ali: accuracy 0.9682539682539683
|
| 180 |
-
| | Segment Content | Segment Boundary |
|
| 181 |
-
|-----------+-------------------+--------------------|
|
| 182 |
-
| Precision | 0.982759 | 0.8 |
|
| 183 |
-
| Recall | 0.982759 | 0.8 |
|
| 184 |
-
| F1 | 0.982759 | 0.8 |
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
Results for qua: accuracy 0.9354838709677419
|
| 188 |
-
| | Segment Content | Segment Boundary |
|
| 189 |
-
|-----------+-------------------+--------------------|
|
| 190 |
-
| Precision | 0.956522 | 0.875 |
|
| 191 |
-
| Recall | 0.956522 | 0.875 |
|
| 192 |
-
| F1 | 0.956522 | 0.875 |
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
Results for di: accuracy 0.9555555555555556
|
| 196 |
-
| | Segment Content | Segment Boundary |
|
| 197 |
-
|-----------+-------------------+--------------------|
|
| 198 |
-
| Precision | 1 | 0.5 |
|
| 199 |
-
| Recall | 0.953488 | 1 |
|
| 200 |
-
| F1 | 0.97619 | 0.666667 |
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
Results for aut: accuracy 0.8
|
| 204 |
-
| | Segment Content | Segment Boundary |
|
| 205 |
-
|-----------+-------------------+--------------------|
|
| 206 |
-
| Precision | 1 | 0.6 |
|
| 207 |
-
| Recall | 0.714286 | 1 |
|
| 208 |
-
| F1 | 0.833333 | 0.75 |
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
Results for sunt: accuracy 0.9767441860465116
|
| 212 |
-
| | Segment Content | Segment Boundary |
|
| 213 |
-
|-----------+-------------------+--------------------|
|
| 214 |
-
| Precision | 0.974359 | 1 |
|
| 215 |
-
| Recall | 1 | 0.8 |
|
| 216 |
-
| F1 | 0.987013 | 0.888889 |
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
Results for esse: accuracy 0.9142857142857143
|
| 220 |
-
| | Segment Content | Segment Boundary |
|
| 221 |
-
|-----------+-------------------+--------------------|
|
| 222 |
-
| Precision | 0.965517 | 0.666667 |
|
| 223 |
-
| Recall | 0.933333 | 0.8 |
|
| 224 |
-
| F1 | 0.949153 | 0.727273 |
|
| 225 |
-
|
| 226 |
-
|
| 227 |
-
Results for quem: accuracy 0.9285714285714286
|
| 228 |
-
| | Segment Content | Segment Boundary |
|
| 229 |
-
|-----------+-------------------+--------------------|
|
| 230 |
-
| Precision | 1 | 0.875 |
|
| 231 |
-
| Recall | 0.857143 | 1 |
|
| 232 |
-
| F1 | 0.923077 | 0.933333 |
|
| 233 |
-
|
| 234 |
-
|
| 235 |
-
Results for secundum: accuracy 0.8695652173913043
|
| 236 |
-
| | Segment Content | Segment Boundary |
|
| 237 |
-
|-----------+-------------------+--------------------|
|
| 238 |
-
| Precision | 0.8125 | 1 |
|
| 239 |
-
| Recall | 1 | 0.7 |
|
| 240 |
-
| F1 | 0.896552 | 0.823529 |
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
Results for pra: accuracy 0.8918918918918919
|
| 244 |
-
| | Segment Content | Segment Boundary |
|
| 245 |
-
|-----------+-------------------+--------------------|
|
| 246 |
-
| Precision | 0.9375 | 0.6 |
|
| 247 |
-
| Recall | 0.9375 | 0.6 |
|
| 248 |
-
| F1 | 0.9375 | 0.6 |
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
Results for a: accuracy 0.84375
|
| 252 |
-
| | Segment Content | Segment Boundary |
|
| 253 |
-
|-----------+-------------------+--------------------|
|
| 254 |
-
| Precision | 0.884615 | 0.666667 |
|
| 255 |
-
| Recall | 0.92 | 0.571429 |
|
| 256 |
-
| F1 | 0.901961 | 0.615385 |
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
Results for debe: accuracy 0.9
|
| 260 |
-
| | Segment Content | Segment Boundary |
|
| 261 |
-
|-----------+-------------------+--------------------|
|
| 262 |
-
| Precision | 1 | 0.5 |
|
| 263 |
-
| Recall | 0.888889 | 1 |
|
| 264 |
-
| F1 | 0.941176 | 0.666667 |
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
Results for om: accuracy 1.0
|
| 268 |
-
| | Segment Content | Segment Boundary |
|
| 269 |
-
|-----------+-------------------+--------------------|
|
| 270 |
-
| Precision | 1 | 1 |
|
| 271 |
-
| Recall | 1 | 1 |
|
| 272 |
-
| F1 | 1 | 1 |
|
| 273 |
-
|
| 274 |
-
|
| 275 |
-
Results for se: accuracy 0.9444444444444444
|
| 276 |
-
| | Segment Content | Segment Boundary |
|
| 277 |
-
|-----------+-------------------+--------------------|
|
| 278 |
-
| Precision | 0.969697 | 0.666667 |
|
| 279 |
-
| Recall | 0.969697 | 0.666667 |
|
| 280 |
-
| F1 | 0.969697 | 0.666667 |
|
| 281 |
-
|
| 282 |
-
|
| 283 |
-
Results for quali: accuracy 0.9090909090909091
|
| 284 |
-
| | Segment Content | Segment Boundary |
|
| 285 |
-
|-----------+-------------------+--------------------|
|
| 286 |
-
| Precision | 0.833333 | 1 |
|
| 287 |
-
| Recall | 1 | 0.833333 |
|
| 288 |
-
| F1 | 0.909091 | 0.909091 |
|
| 289 |
-
|
| 290 |
-
|
| 291 |
-
Results for eo: accuracy 1.0
|
| 292 |
-
| | Segment Content | Segment Boundary |
|
| 293 |
-
|-----------+-------------------+--------------------|
|
| 294 |
-
| Precision | 1 | 1 |
|
| 295 |
-
| Recall | 1 | 1 |
|
| 296 |
-
| F1 | 1 | 1 |
|
| 297 |
-
|
| 298 |
-
|
| 299 |
-
Results for sub: accuracy 0.8571428571428571
|
| 300 |
-
| | Segment Content | Segment Boundary |
|
| 301 |
-
|-----------+-------------------+--------------------|
|
| 302 |
-
| Precision | 1 | 0.6 |
|
| 303 |
-
| Recall | 0.818182 | 1 |
|
| 304 |
-
| F1 | 0.9 | 0.75 |
|
| 305 |
-
|
| 306 |
-
|
| 307 |
-
Results for ni: accuracy 0.8571428571428571
|
| 308 |
-
| | Segment Content | Segment Boundary |
|
| 309 |
-
|-----------+-------------------+--------------------|
|
| 310 |
-
| Precision | 0.777778 | 1 |
|
| 311 |
-
| Recall | 1 | 0.714286 |
|
| 312 |
-
| F1 | 0.875 | 0.833333 |
|
| 313 |
-
|
| 314 |
-
|
| 315 |
-
Results for sua: accuracy 0.875
|
| 316 |
-
| | Segment Content | Segment Boundary |
|
| 317 |
-
|-----------+-------------------+--------------------|
|
| 318 |
-
| Precision | 1 | 0.75 |
|
| 319 |
-
| Recall | 0.8 | 1 |
|
| 320 |
-
| F1 | 0.888889 | 0.857143 |
|
| 321 |
-
|
| 322 |
-
|
| 323 |
-
Results for ab: accuracy 0.8333333333333334
|
| 324 |
-
| | Segment Content | Segment Boundary |
|
| 325 |
-
|-----------+-------------------+--------------------|
|
| 326 |
-
| Precision | 0.809524 | 1 |
|
| 327 |
-
| Recall | 1 | 0.428571 |
|
| 328 |
-
| F1 | 0.894737 | 0.6 |
|
| 329 |
-
|
| 330 |
-
|
| 331 |
-
Results for inter: accuracy 0.8947368421052632
|
| 332 |
-
| | Segment Content | Segment Boundary |
|
| 333 |
-
|-----------+-------------------+--------------------|
|
| 334 |
-
| Precision | 0.866667 | 1 |
|
| 335 |
-
| Recall | 1 | 0.666667 |
|
| 336 |
-
| F1 | 0.928571 | 0.8 |
|
| 337 |
-
|
| 338 |
-
|
| 339 |
-
Results for tam: accuracy 0.9545454545454546
|
| 340 |
-
| | Segment Content | Segment Boundary |
|
| 341 |
-
|-----------+-------------------+--------------------|
|
| 342 |
-
| Precision | 0.947368 | 1 |
|
| 343 |
-
| Recall | 1 | 0.75 |
|
| 344 |
-
| F1 | 0.972973 | 0.857143 |
|
| 345 |
-
|
| 346 |
-
|
| 347 |
-
Results for red: accuracy 0.9411764705882353
|
| 348 |
-
| | Segment Content | Segment Boundary |
|
| 349 |
-
|-----------+-------------------+--------------------|
|
| 350 |
-
| Precision | 1 | 0.75 |
|
| 351 |
-
| Recall | 0.928571 | 1 |
|
| 352 |
-
| F1 | 0.962963 | 0.857143 |
|
| 353 |
-
|
| 354 |
-
|
| 355 |
-
Results for e: accuracy 0.9047619047619048
|
| 356 |
-
| | Segment Content | Segment Boundary |
|
| 357 |
-
|-----------+-------------------+--------------------|
|
| 358 |
-
| Precision | 0.888889 | 1 |
|
| 359 |
-
| Recall | 1 | 0.6 |
|
| 360 |
-
| F1 | 0.941176 | 0.75 |
|
| 361 |
-
|
| 362 |
-
|
| 363 |
-
Results for it: accuracy 1.0
|
| 364 |
-
| | Segment Content | Segment Boundary |
|
| 365 |
-
|-----------+-------------------+--------------------|
|
| 366 |
-
| Precision | 1 | 1 |
|
| 367 |
-
| Recall | 1 | 1 |
|
| 368 |
-
| F1 | 1 | 1 |
|
| 369 |
-
|
| 370 |
-
|
| 371 |
-
Results for maxime: accuracy 0.9333333333333333
|
| 372 |
-
| | Segment Content | Segment Boundary |
|
| 373 |
-
|-----------+-------------------+--------------------|
|
| 374 |
-
| Precision | 0.909091 | 1 |
|
| 375 |
-
| Recall | 1 | 0.8 |
|
| 376 |
-
| F1 | 0.952381 | 0.888889 |
|
| 377 |
-
|
| 378 |
-
|
| 379 |
-
Results for post: accuracy 0.9230769230769231
|
| 380 |
-
| | Segment Content | Segment Boundary |
|
| 381 |
-
|-----------+-------------------+--------------------|
|
| 382 |
-
| Precision | 1 | 0.75 |
|
| 383 |
-
| Recall | 0.9 | 1 |
|
| 384 |
-
| F1 | 0.947368 | 0.857143 |
|
| 385 |
-
|
| 386 |
-
|
| 387 |
-
Results for sci: accuracy 1.0
|
| 388 |
-
| | Segment Content | Segment Boundary |
|
| 389 |
-
|-----------+-------------------+--------------------|
|
| 390 |
-
| Precision | 1 | 1 |
|
| 391 |
-
| Recall | 1 | 1 |
|
| 392 |
-
| F1 | 1 | 1 |
|
| 393 |
-
|
| 394 |
-
|
| 395 |
-
Results for ide: accuracy 0.9166666666666666
|
| 396 |
-
| | Segment Content | Segment Boundary |
|
| 397 |
-
|-----------+-------------------+--------------------|
|
| 398 |
-
| Precision | 1 | 0.875 |
|
| 399 |
-
| Recall | 0.8 | 1 |
|
| 400 |
-
| F1 | 0.888889 | 0.933333 |
|
| 401 |
-
|
| 402 |
-
|
| 403 |
-
Results for que: accuracy 0.9444444444444444
|
| 404 |
-
| | Segment Content | Segment Boundary |
|
| 405 |
-
|-----------+-------------------+--------------------|
|
| 406 |
-
| Precision | 1 | 0.933333 |
|
| 407 |
-
| Recall | 0.75 | 1 |
|
| 408 |
-
| F1 | 0.857143 | 0.965517 |
|
| 409 |
-
|
| 410 |
-
|
| 411 |
-
Results for vide: accuracy 1.0
|
| 412 |
-
| | Segment Content | Segment Boundary |
|
| 413 |
-
|-----------+-------------------+--------------------|
|
| 414 |
-
| Precision | 1 | 1 |
|
| 415 |
-
| Recall | 1 | 1 |
|
| 416 |
-
| F1 | 1 | 1 |
|
| 417 |
-
|
| 418 |
-
|
| 419 |
-
Results for pos: accuracy 0.9333333333333333
|
| 420 |
-
| | Segment Content | Segment Boundary |
|
| 421 |
-
|-----------+-------------------+--------------------|
|
| 422 |
-
| Precision | 1 | 0.666667 |
|
| 423 |
-
| Recall | 0.923077 | 1 |
|
| 424 |
-
| F1 | 0.96 | 0.8 |
|
| 425 |
-
|
| 426 |
-
|
| 427 |
-
Results for im: accuracy 1.0
|
| 428 |
-
| | Segment Content | Segment Boundary |
|
| 429 |
-
|-----------+-------------------+--------------------|
|
| 430 |
-
| Precision | 1 | 1 |
|
| 431 |
-
| Recall | 1 | 1 |
|
| 432 |
-
| F1 | 1 | 1 |
|
| 433 |
-
|
| 434 |
-
|
| 435 |
-
Results for ter: accuracy 1.0
|
| 436 |
-
| | Segment Content | Segment Boundary |
|
| 437 |
-
|-----------+-------------------+--------------------|
|
| 438 |
-
| Precision | 1 | 1 |
|
| 439 |
-
| Recall | 1 | 1 |
|
| 440 |
-
| F1 | 1 | 1 |
|
| 441 |
-
|
| 442 |
-
|
| 443 |
-
Results for o: accuracy 1.0
|
| 444 |
-
| | Segment Content | Segment Boundary |
|
| 445 |
-
|-----------+-------------------+--------------------|
|
| 446 |
-
| Precision | 1 | 1 |
|
| 447 |
-
| Recall | 1 | 1 |
|
| 448 |
-
| F1 | 1 | 1 |
|
| 449 |
-
|
| 450 |
-
|
| 451 |
-
Results for super: accuracy 1.0
|
| 452 |
-
| | Segment Content | Segment Boundary |
|
| 453 |
-
|-----------+-------------------+--------------------|
|
| 454 |
-
| Precision | 1 | 1 |
|
| 455 |
-
| Recall | 1 | 1 |
|
| 456 |
-
| F1 | 1 | 1 |
|
| 457 |
-
|
| 458 |
-
|
| 459 |
-
Results for Im: accuracy 1.0
|
| 460 |
-
| | Segment Content | Segment Boundary |
|
| 461 |
-
|-----------+-------------------+--------------------|
|
| 462 |
-
| Precision | 1 | 1 |
|
| 463 |
-
| Recall | 1 | 1 |
|
| 464 |
-
| F1 | 1 | 1 |
|
| 465 |
-
|
| 466 |
-
|
| 467 |
-
Results for prop: accuracy 1.0
|
| 468 |
-
| | Segment Content | Segment Boundary |
|
| 469 |
-
|-----------+-------------------+--------------------|
|
| 470 |
-
| Precision | 1 | 1 |
|
| 471 |
-
| Recall | 1 | 1 |
|
| 472 |
-
| F1 | 1 | 1 |
|
| 473 |
-
|
| 474 |
-
|
| 475 |
-
Results for domi: accuracy 0.9090909090909091
|
| 476 |
-
| | Segment Content | Segment Boundary |
|
| 477 |
-
|-----------+-------------------+--------------------|
|
| 478 |
-
| Precision | 1 | 0.666667 |
|
| 479 |
-
| Recall | 0.888889 | 1 |
|
| 480 |
-
| F1 | 0.941176 | 0.8 |
|
| 481 |
-
|
| 482 |
-
|
| 483 |
-
Results for sec: accuracy 1.0
|
| 484 |
-
| | Segment Content | Segment Boundary |
|
| 485 |
-
|-----------+-------------------+--------------------|
|
| 486 |
-
| Precision | 1 | 1 |
|
| 487 |
-
| Recall | 1 | 1 |
|
| 488 |
-
| F1 | 1 | 1 |
|
| 489 |
-
|
| 490 |
-
|
| 491 |
-
Results for causa: accuracy 0.8
|
| 492 |
-
| | Segment Content | Segment Boundary |
|
| 493 |
-
|-----------+-------------------+--------------------|
|
| 494 |
-
| Precision | 0.857143 | 0.666667 |
|
| 495 |
-
| Recall | 0.857143 | 0.666667 |
|
| 496 |
-
| F1 | 0.857143 | 0.666667 |
|
| 497 |
-
|
| 498 |
-
|
| 499 |
-
Results for id: accuracy 1.0
|
| 500 |
-
| | Segment Content | Segment Boundary |
|
| 501 |
-
|-----------+-------------------+--------------------|
|
| 502 |
-
| Precision | 1 | 1 |
|
| 503 |
-
| Recall | 1 | 1 |
|
| 504 |
-
| F1 | 1 | 1 |
|
| 505 |
-
|
| 506 |
-
|
| 507 |
-
Results for ecc: accuracy 1.0
|
| 508 |
-
| | Segment Content | Segment Boundary |
|
| 509 |
-
|-----------+-------------------+--------------------|
|
| 510 |
-
| Precision | 1 | 1 |
|
| 511 |
-
| Recall | 1 | 1 |
|
| 512 |
-
| F1 | 1 | 1 |
|
| 513 |
-
|
| 514 |
-
|
| 515 |
-
Results for li: accuracy 1.0
|
| 516 |
-
| | Segment Content | Segment Boundary |
|
| 517 |
-
|-----------+-------------------+--------------------|
|
| 518 |
-
| Precision | 1 | 1 |
|
| 519 |
-
| Recall | 1 | 1 |
|
| 520 |
-
| F1 | 1 | 1 |
|
| 521 |
-
|
| 522 |
-
|
| 523 |
-
Results for I: accuracy 1.0
|
| 524 |
-
| | Segment Content | Segment Boundary |
|
| 525 |
-
|-----------+-------------------+--------------------|
|
| 526 |
-
| Precision | 1 | 1 |
|
| 527 |
-
| Recall | 1 | 1 |
|
| 528 |
-
| F1 | 1 | 1 |
|
| 529 |
-
|
| 530 |
-
|
| 531 |
-
Results for ratio: accuracy 1.0
|
| 532 |
-
| | Segment Content | Segment Boundary |
|
| 533 |
-
|-----------+-------------------+--------------------|
|
| 534 |
-
| Precision | 1 | 1 |
|
| 535 |
-
| Recall | 1 | 1 |
|
| 536 |
-
| F1 | 1 | 1 |
|
| 537 |
-
|
| 538 |
-
|
| 539 |
-
Results for De: accuracy 1.0
|
| 540 |
-
| | Segment Content | Segment Boundary |
|
| 541 |
-
|-----------+-------------------+--------------------|
|
| 542 |
-
| Precision | 1 | 1 |
|
| 543 |
-
| Recall | 1 | 1 |
|
| 544 |
-
| F1 | 1 | 1 |
|
| 545 |
-
|
| 546 |
-
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|
results/out-of-domain/HTR/best_model.ca.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for ca:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.949051 | 0.820513 |
|
| 5 |
-
| Recall | 0.97137 | 0.715084 |
|
| 6 |
-
| F1 | 0.960081 | 0.764179 |
|
| 7 |
-
Best model on test data for ca:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.949051 | 0.820513 |
|
| 11 |
-
| Recall | 0.97137 | 0.715084 |
|
| 12 |
-
| F1 | 0.960081 | 0.764179 |
|
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|
results/out-of-domain/HTR/best_model.es.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for es:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.957194 | 0.850649 |
|
| 5 |
-
| Recall | 0.972222 | 0.784431 |
|
| 6 |
-
| F1 | 0.964649 | 0.816199 |
|
| 7 |
-
Best model on test data for es:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.957194 | 0.850649 |
|
| 11 |
-
| Recall | 0.972222 | 0.784431 |
|
| 12 |
-
| F1 | 0.964649 | 0.816199 |
|
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results/out-of-domain/HTR/best_model.fr.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for fr:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.97582 | 0.924675 |
|
| 5 |
-
| Recall | 0.987331 | 0.864078 |
|
| 6 |
-
| F1 | 0.981542 | 0.89335 |
|
| 7 |
-
Best model on test data for fr:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.97582 | 0.924675 |
|
| 11 |
-
| Recall | 0.987331 | 0.864078 |
|
| 12 |
-
| F1 | 0.981542 | 0.89335 |
|
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results/out-of-domain/HTR/best_model.la.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for la:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.947686 | 0.84188 |
|
| 5 |
-
| Recall | 0.962206 | 0.791165 |
|
| 6 |
-
| F1 | 0.954891 | 0.815735 |
|
| 7 |
-
Best model on test data for la:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.947686 | 0.84188 |
|
| 11 |
-
| Recall | 0.962206 | 0.791165 |
|
| 12 |
-
| F1 | 0.954891 | 0.815735 |
|
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results/out-of-domain/HTR/resultats_ambiguite_ca.txt
DELETED
|
@@ -1,98 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.8334508099221779.
|
| 2 |
-
|
| 3 |
-
Results for per: accuracy 0.8780487804878049
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.913043 | 0.833333 |
|
| 7 |
-
| Recall | 0.875 | 0.882353 |
|
| 8 |
-
| F1 | 0.893617 | 0.857143 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for que: accuracy 0.8571428571428571
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 1 | 0.727273 |
|
| 15 |
-
| Recall | 0.769231 | 1 |
|
| 16 |
-
| F1 | 0.869565 | 0.842105 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for a: accuracy 0.5
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 1 | 0.0833333 |
|
| 23 |
-
| Recall | 0.47619 | 1 |
|
| 24 |
-
| F1 | 0.645161 | 0.153846 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for e: accuracy 0.7142857142857143
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 0.730769 | 0.666667 |
|
| 31 |
-
| Recall | 0.863636 | 0.461538 |
|
| 32 |
-
| F1 | 0.791667 | 0.545455 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for segons: accuracy 0.9130434782608695
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.9375 | 0.857143 |
|
| 39 |
-
| Recall | 0.9375 | 0.857143 |
|
| 40 |
-
| F1 | 0.9375 | 0.857143 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for lo: accuracy 0.9722222222222222
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 0.969697 | 1 |
|
| 47 |
-
| Recall | 1 | 0.75 |
|
| 48 |
-
| F1 | 0.984615 | 0.857143 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for en: accuracy 1.0
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 1 | 1 |
|
| 55 |
-
| Recall | 1 | 1 |
|
| 56 |
-
| F1 | 1 | 1 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for les: accuracy 0.9333333333333333
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 1 | 0.8 |
|
| 63 |
-
| Recall | 0.909091 | 1 |
|
| 64 |
-
| F1 | 0.952381 | 0.888889 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
Results for se: accuracy 0.8333333333333334
|
| 68 |
-
| | Segment Content | Segment Boundary |
|
| 69 |
-
|-----------+-------------------+--------------------|
|
| 70 |
-
| Precision | 1 | 0 |
|
| 71 |
-
| Recall | 0.833333 | 0 |
|
| 72 |
-
| F1 | 0.909091 | 0 |
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
Results for la: accuracy 1.0
|
| 76 |
-
| | Segment Content | Segment Boundary |
|
| 77 |
-
|-----------+-------------------+--------------------|
|
| 78 |
-
| Precision | 1 | 1 |
|
| 79 |
-
| Recall | 1 | 1 |
|
| 80 |
-
| F1 | 1 | 1 |
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
Results for con: accuracy 0.9
|
| 84 |
-
| | Segment Content | Segment Boundary |
|
| 85 |
-
|-----------+-------------------+--------------------|
|
| 86 |
-
| Precision | 0.941176 | 0.666667 |
|
| 87 |
-
| Recall | 0.941176 | 0.666667 |
|
| 88 |
-
| F1 | 0.941176 | 0.666667 |
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
Results for qui: accuracy 0.5
|
| 92 |
-
| | Segment Content | Segment Boundary |
|
| 93 |
-
|-----------+-------------------+--------------------|
|
| 94 |
-
| Precision | 0.333333 | 0.666667 |
|
| 95 |
-
| Recall | 0.5 | 0.5 |
|
| 96 |
-
| F1 | 0.4 | 0.571429 |
|
| 97 |
-
|
| 98 |
-
|
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results/out-of-domain/HTR/resultats_ambiguite_es.txt
DELETED
|
@@ -1,66 +0,0 @@
|
|
| 1 |
-
Mean accuracy: 0.8982745996222227.
|
| 2 |
-
|
| 3 |
-
Results for q: accuracy 0.8809523809523809
|
| 4 |
-
| | Segment Content | Segment Boundary |
|
| 5 |
-
|-----------+-------------------+--------------------|
|
| 6 |
-
| Precision | 0.833333 | 0.916667 |
|
| 7 |
-
| Recall | 0.882353 | 0.88 |
|
| 8 |
-
| F1 | 0.857143 | 0.897959 |
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
Results for et: accuracy 0.8870967741935484
|
| 12 |
-
| | Segment Content | Segment Boundary |
|
| 13 |
-
|-----------+-------------------+--------------------|
|
| 14 |
-
| Precision | 0.954545 | 0.85 |
|
| 15 |
-
| Recall | 0.777778 | 0.971429 |
|
| 16 |
-
| F1 | 0.857143 | 0.906667 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
Results for en: accuracy 0.75
|
| 20 |
-
| | Segment Content | Segment Boundary |
|
| 21 |
-
|-----------+-------------------+--------------------|
|
| 22 |
-
| Precision | 1 | 0.142857 |
|
| 23 |
-
| Recall | 0.73913 | 1 |
|
| 24 |
-
| F1 | 0.85 | 0.25 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
Results for por: accuracy 0.9473684210526315
|
| 28 |
-
| | Segment Content | Segment Boundary |
|
| 29 |
-
|-----------+-------------------+--------------------|
|
| 30 |
-
| Precision | 1 | 0.923077 |
|
| 31 |
-
| Recall | 0.857143 | 1 |
|
| 32 |
-
| F1 | 0.923077 | 0.96 |
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
Results for de: accuracy 0.8636363636363636
|
| 36 |
-
| | Segment Content | Segment Boundary |
|
| 37 |
-
|-----------+-------------------+--------------------|
|
| 38 |
-
| Precision | 0.894737 | 0.666667 |
|
| 39 |
-
| Recall | 0.944444 | 0.5 |
|
| 40 |
-
| F1 | 0.918919 | 0.571429 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
Results for d: accuracy 0.8571428571428571
|
| 44 |
-
| | Segment Content | Segment Boundary |
|
| 45 |
-
|-----------+-------------------+--------------------|
|
| 46 |
-
| Precision | 1 | 0.666667 |
|
| 47 |
-
| Recall | 0.8 | 1 |
|
| 48 |
-
| F1 | 0.888889 | 0.8 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
Results for e: accuracy 1.0
|
| 52 |
-
| | Segment Content | Segment Boundary |
|
| 53 |
-
|-----------+-------------------+--------------------|
|
| 54 |
-
| Precision | 1 | 1 |
|
| 55 |
-
| Recall | 1 | 1 |
|
| 56 |
-
| F1 | 1 | 1 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
Results for com: accuracy 1.0
|
| 60 |
-
| | Segment Content | Segment Boundary |
|
| 61 |
-
|-----------+-------------------+--------------------|
|
| 62 |
-
| Precision | 1 | 1 |
|
| 63 |
-
| Recall | 1 | 1 |
|
| 64 |
-
| F1 | 1 | 1 |
|
| 65 |
-
|
| 66 |
-
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|
results/out-of-domain/other_langs/best_model.ca.txt
DELETED
|
@@ -1,12 +0,0 @@
|
|
| 1 |
-
Best model on test data for ca:
|
| 2 |
-
| | Segment Content | Segment Boundary |
|
| 3 |
-
|-----------+-------------------+--------------------|
|
| 4 |
-
| Precision | 0.957726 | 0.861478 |
|
| 5 |
-
| Recall | 0.977997 | 0.760186 |
|
| 6 |
-
| F1 | 0.967755 | 0.807669 |
|
| 7 |
-
Best model on test data for ca:
|
| 8 |
-
| | Segment Content | Segment Boundary |
|
| 9 |
-
|-----------+-------------------+--------------------|
|
| 10 |
-
| Precision | 0.957726 | 0.861478 |
|
| 11 |
-
| Recall | 0.977997 | 0.760186 |
|
| 12 |
-
| F1 | 0.967755 | 0.807669 |
|
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rng_state.pth
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 sha256:102015cca1b18727a0a043ded5c1363cac2464e4ec9c72e2502f8fdf86cfa502
|
| 3 |
+
size 14645
|
scheduler.pt
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:e17d618a317c719cd27895bd4f2783df2b891d58b45dc85487fa1b973ffebbf7
|
| 3 |
+
size 1465
|
trainer_state.json
CHANGED
|
@@ -1,78 +1,111 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "/projects/users/mgillele/trash/test_segmenter/2025-10-
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
-
"grad_norm": 0.
|
| 14 |
-
"learning_rate": 4.
|
| 15 |
-
"loss": 0.
|
| 16 |
-
"step":
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 1.0,
|
| 20 |
"eval_accuracy": {
|
| 21 |
-
"accuracy": 0.
|
| 22 |
},
|
| 23 |
"eval_f1": [
|
| 24 |
-
0.
|
| 25 |
-
0.
|
| 26 |
],
|
| 27 |
-
"eval_loss": 0.
|
| 28 |
"eval_precision": [
|
| 29 |
-
0.
|
| 30 |
-
0.
|
| 31 |
],
|
| 32 |
"eval_recall": [
|
| 33 |
-
0.
|
| 34 |
-
0.
|
| 35 |
],
|
| 36 |
-
"eval_runtime": 4.
|
| 37 |
-
"eval_samples_per_second":
|
| 38 |
-
"eval_steps_per_second":
|
| 39 |
-
"step":
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 2.0,
|
| 43 |
-
"grad_norm": 0.
|
| 44 |
-
"learning_rate": 4.
|
| 45 |
-
"loss": 0.
|
| 46 |
-
"step":
|
| 47 |
},
|
| 48 |
{
|
| 49 |
"epoch": 2.0,
|
| 50 |
"eval_accuracy": {
|
| 51 |
-
"accuracy": 0.
|
| 52 |
},
|
| 53 |
"eval_f1": [
|
| 54 |
-
0.
|
| 55 |
-
0.
|
| 56 |
],
|
| 57 |
-
"eval_loss": 0.
|
| 58 |
"eval_precision": [
|
| 59 |
-
0.
|
| 60 |
-
0.
|
| 61 |
],
|
| 62 |
"eval_recall": [
|
| 63 |
-
0.
|
| 64 |
-
0.
|
| 65 |
],
|
| 66 |
-
"eval_runtime": 4.
|
| 67 |
-
"eval_samples_per_second":
|
| 68 |
-
"eval_steps_per_second":
|
| 69 |
-
"step":
|
|
|
|
|
|
|
|
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|
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