josecannete commited on
Commit
00accf4
1 Parent(s): f9df361

adding model finetuned on NER

Browse files
all_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "eval_accuracy": 0.9778161165226419,
4
+ "eval_f1": 0.8677048922447697,
5
+ "eval_loss": 0.08214916288852692,
6
+ "eval_precision": 0.8679779701022816,
7
+ "eval_recall": 0.8674319861613461,
8
+ "eval_runtime": 2.0782,
9
+ "eval_samples": 1916,
10
+ "eval_samples_per_second": 921.958,
11
+ "eval_steps_per_second": 28.871,
12
+ "train_loss": 0.07351639238810631,
13
+ "train_runtime": 113.4173,
14
+ "train_samples": 8324,
15
+ "train_samples_per_second": 293.571,
16
+ "train_steps_per_second": 9.205
17
+ }
config.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "PlanTL-GOB-ES/roberta-base-bne",
3
+ "architectures": [
4
+ "RobertaForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "finetuning_task": "ner",
11
+ "gradient_checkpointing": false,
12
+ "hidden_act": "gelu",
13
+ "hidden_dropout_prob": 0.0,
14
+ "hidden_size": 768,
15
+ "id2label": {
16
+ "0": "LABEL_0",
17
+ "1": "LABEL_1",
18
+ "2": "LABEL_2",
19
+ "3": "LABEL_3",
20
+ "4": "LABEL_4",
21
+ "5": "LABEL_5",
22
+ "6": "LABEL_6",
23
+ "7": "LABEL_7",
24
+ "8": "LABEL_8"
25
+ },
26
+ "initializer_range": 0.02,
27
+ "intermediate_size": 3072,
28
+ "label2id": {
29
+ "LABEL_0": 0,
30
+ "LABEL_1": 1,
31
+ "LABEL_2": 2,
32
+ "LABEL_3": 3,
33
+ "LABEL_4": 4,
34
+ "LABEL_5": 5,
35
+ "LABEL_6": 6,
36
+ "LABEL_7": 7,
37
+ "LABEL_8": 8
38
+ },
39
+ "layer_norm_eps": 1e-05,
40
+ "max_position_embeddings": 514,
41
+ "model_type": "roberta",
42
+ "num_attention_heads": 12,
43
+ "num_hidden_layers": 12,
44
+ "pad_token_id": 1,
45
+ "position_embedding_type": "absolute",
46
+ "torch_dtype": "float32",
47
+ "transformers_version": "4.15.0",
48
+ "type_vocab_size": 1,
49
+ "use_cache": true,
50
+ "vocab_size": 50262
51
+ }
eval_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "eval_accuracy": 0.9778161165226419,
4
+ "eval_f1": 0.8677048922447697,
5
+ "eval_loss": 0.08214916288852692,
6
+ "eval_precision": 0.8679779701022816,
7
+ "eval_recall": 0.8674319861613461,
8
+ "eval_runtime": 2.0782,
9
+ "eval_samples": 1916,
10
+ "eval_samples_per_second": 921.958,
11
+ "eval_steps_per_second": 28.871
12
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c4abb77da5e922e6ff3e1c0d0fab6443a014628046f0ce9b7141aa51cf022ee
3
+ size 496323313
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": true, "errors": "replace", "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "trim_offsets": true, "max_len": 512, "special_tokens_map_file": null, "name_or_path": "PlanTL-GOB-ES/roberta-base-bne", "do_lower_case": false, "tokenizer_class": "RobertaTokenizer"}
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "train_loss": 0.07351639238810631,
4
+ "train_runtime": 113.4173,
5
+ "train_samples": 8324,
6
+ "train_samples_per_second": 293.571,
7
+ "train_steps_per_second": 9.205
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,157 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.08214916288852692,
3
+ "best_model_checkpoint": "/home/jcanete/ft-data/all_results/ner/roberta_base_bne/epochs_4_bs_32_lr_3e-5/checkpoint-500",
4
+ "epoch": 4.0,
5
+ "global_step": 1044,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.38,
12
+ "eval_accuracy": 0.9629454334483496,
13
+ "eval_f1": 0.7416711342574863,
14
+ "eval_loss": 0.1347309798002243,
15
+ "eval_precision": 0.7229023589131084,
16
+ "eval_recall": 0.7614404780625884,
17
+ "eval_runtime": 2.0941,
18
+ "eval_samples_per_second": 914.935,
19
+ "eval_steps_per_second": 28.651,
20
+ "step": 100
21
+ },
22
+ {
23
+ "epoch": 0.77,
24
+ "eval_accuracy": 0.9751748144981526,
25
+ "eval_f1": 0.846393519239757,
26
+ "eval_loss": 0.09219810366630554,
27
+ "eval_precision": 0.8385553326130576,
28
+ "eval_recall": 0.8543796194370183,
29
+ "eval_runtime": 2.0125,
30
+ "eval_samples_per_second": 952.045,
31
+ "eval_steps_per_second": 29.814,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 1.15,
36
+ "eval_accuracy": 0.9743656294848698,
37
+ "eval_f1": 0.8412611054328171,
38
+ "eval_loss": 0.09414725750684738,
39
+ "eval_precision": 0.8411949685534591,
40
+ "eval_recall": 0.8413272527126907,
41
+ "eval_runtime": 2.0091,
42
+ "eval_samples_per_second": 953.677,
43
+ "eval_steps_per_second": 29.865,
44
+ "step": 300
45
+ },
46
+ {
47
+ "epoch": 1.53,
48
+ "eval_accuracy": 0.9758313230938349,
49
+ "eval_f1": 0.854766575127501,
50
+ "eval_loss": 0.08752118051052094,
51
+ "eval_precision": 0.8529595991230817,
52
+ "eval_recall": 0.8565812234628086,
53
+ "eval_runtime": 2.0067,
54
+ "eval_samples_per_second": 954.82,
55
+ "eval_steps_per_second": 29.9,
56
+ "step": 400
57
+ },
58
+ {
59
+ "epoch": 1.92,
60
+ "learning_rate": 1.5689655172413794e-05,
61
+ "loss": 0.1335,
62
+ "step": 500
63
+ },
64
+ {
65
+ "epoch": 1.92,
66
+ "eval_accuracy": 0.9778161165226419,
67
+ "eval_f1": 0.8677048922447697,
68
+ "eval_loss": 0.08214916288852692,
69
+ "eval_precision": 0.8679779701022816,
70
+ "eval_recall": 0.8674319861613461,
71
+ "eval_runtime": 2.0137,
72
+ "eval_samples_per_second": 951.47,
73
+ "eval_steps_per_second": 29.796,
74
+ "step": 500
75
+ },
76
+ {
77
+ "epoch": 2.3,
78
+ "eval_accuracy": 0.9771443402851996,
79
+ "eval_f1": 0.859778020947319,
80
+ "eval_loss": 0.0927521213889122,
81
+ "eval_precision": 0.8547008547008547,
82
+ "eval_recall": 0.8649158672747287,
83
+ "eval_runtime": 2.07,
84
+ "eval_samples_per_second": 925.61,
85
+ "eval_steps_per_second": 28.986,
86
+ "step": 600
87
+ },
88
+ {
89
+ "epoch": 2.68,
90
+ "eval_accuracy": 0.9763504229136768,
91
+ "eval_f1": 0.8577878103837472,
92
+ "eval_loss": 0.092233806848526,
93
+ "eval_precision": 0.8492601726263872,
94
+ "eval_recall": 0.8664884415788646,
95
+ "eval_runtime": 2.0104,
96
+ "eval_samples_per_second": 953.047,
97
+ "eval_steps_per_second": 29.845,
98
+ "step": 700
99
+ },
100
+ {
101
+ "epoch": 3.07,
102
+ "eval_accuracy": 0.9773428196280802,
103
+ "eval_f1": 0.8647045046451715,
104
+ "eval_loss": 0.09490890055894852,
105
+ "eval_precision": 0.8586046511627907,
106
+ "eval_recall": 0.8708916496304451,
107
+ "eval_runtime": 1.9928,
108
+ "eval_samples_per_second": 961.47,
109
+ "eval_steps_per_second": 30.109,
110
+ "step": 800
111
+ },
112
+ {
113
+ "epoch": 3.45,
114
+ "eval_accuracy": 0.9767321139576781,
115
+ "eval_f1": 0.859104384459354,
116
+ "eval_loss": 0.09667886048555374,
117
+ "eval_precision": 0.852453940238427,
118
+ "eval_recall": 0.8658594118572103,
119
+ "eval_runtime": 2.002,
120
+ "eval_samples_per_second": 957.043,
121
+ "eval_steps_per_second": 29.97,
122
+ "step": 900
123
+ },
124
+ {
125
+ "epoch": 3.83,
126
+ "learning_rate": 1.32183908045977e-06,
127
+ "loss": 0.0189,
128
+ "step": 1000
129
+ },
130
+ {
131
+ "epoch": 3.83,
132
+ "eval_accuracy": 0.977556566612721,
133
+ "eval_f1": 0.8655850772004076,
134
+ "eval_loss": 0.09368374198675156,
135
+ "eval_precision": 0.8628125,
136
+ "eval_recall": 0.8683755307438277,
137
+ "eval_runtime": 2.004,
138
+ "eval_samples_per_second": 956.073,
139
+ "eval_steps_per_second": 29.94,
140
+ "step": 1000
141
+ },
142
+ {
143
+ "epoch": 4.0,
144
+ "step": 1044,
145
+ "total_flos": 1723769471413440.0,
146
+ "train_loss": 0.07351639238810631,
147
+ "train_runtime": 113.4173,
148
+ "train_samples_per_second": 293.571,
149
+ "train_steps_per_second": 9.205
150
+ }
151
+ ],
152
+ "max_steps": 1044,
153
+ "num_train_epochs": 4,
154
+ "total_flos": 1723769471413440.0,
155
+ "trial_name": null,
156
+ "trial_params": null
157
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7f8f9a5fef1daafc1356cf98f288ddd52b1389b48fdd675f7af45f39da88b34
3
+ size 2991
vocab.json ADDED
The diff for this file is too large to render. See raw diff