josecannete
commited on
Commit
•
04d8633
1
Parent(s):
d0e8cb9
adding model finetuned on MLDoc
Browse files- all_results.json +14 -0
- config.json +46 -0
- eval_results.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +196 -0
- training_args.bin +3 -0
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9589999914169312,
|
4 |
+
"eval_loss": 0.20911003649234772,
|
5 |
+
"eval_runtime": 24.6119,
|
6 |
+
"eval_samples": 1000,
|
7 |
+
"eval_samples_per_second": 40.631,
|
8 |
+
"eval_steps_per_second": 5.079,
|
9 |
+
"train_loss": 0.1292072490857808,
|
10 |
+
"train_runtime": 3156.6951,
|
11 |
+
"train_samples": 9458,
|
12 |
+
"train_samples_per_second": 8.989,
|
13 |
+
"train_steps_per_second": 0.562
|
14 |
+
}
|
config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "CenIA/albert_xlarge_spanish",
|
3 |
+
"architectures": [
|
4 |
+
"AlbertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0,
|
7 |
+
"bos_token_id": 2,
|
8 |
+
"classifier_dropout_prob": 0.1,
|
9 |
+
"down_scale_factor": 1,
|
10 |
+
"embedding_size": 128,
|
11 |
+
"eos_token_id": 3,
|
12 |
+
"gap_size": 0,
|
13 |
+
"hidden_act": "gelu",
|
14 |
+
"hidden_dropout_prob": 0,
|
15 |
+
"hidden_size": 2048,
|
16 |
+
"id2label": {
|
17 |
+
"0": "LABEL_0",
|
18 |
+
"1": "LABEL_1",
|
19 |
+
"2": "LABEL_2",
|
20 |
+
"3": "LABEL_3"
|
21 |
+
},
|
22 |
+
"initializer_range": 0.01,
|
23 |
+
"inner_group_num": 1,
|
24 |
+
"intermediate_size": 8192,
|
25 |
+
"label2id": {
|
26 |
+
"LABEL_0": 0,
|
27 |
+
"LABEL_1": 1,
|
28 |
+
"LABEL_2": 2,
|
29 |
+
"LABEL_3": 3
|
30 |
+
},
|
31 |
+
"layer_norm_eps": 1e-12,
|
32 |
+
"max_position_embeddings": 512,
|
33 |
+
"model_type": "albert",
|
34 |
+
"net_structure_type": 0,
|
35 |
+
"num_attention_heads": 32,
|
36 |
+
"num_hidden_groups": 1,
|
37 |
+
"num_hidden_layers": 24,
|
38 |
+
"num_memory_blocks": 0,
|
39 |
+
"pad_token_id": 0,
|
40 |
+
"position_embedding_type": "absolute",
|
41 |
+
"problem_type": "single_label_classification",
|
42 |
+
"torch_dtype": "float32",
|
43 |
+
"transformers_version": "4.15.0",
|
44 |
+
"type_vocab_size": 2,
|
45 |
+
"vocab_size": 31000
|
46 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9589999914169312,
|
4 |
+
"eval_loss": 0.20911003649234772,
|
5 |
+
"eval_runtime": 24.6119,
|
6 |
+
"eval_samples": 1000,
|
7 |
+
"eval_samples_per_second": 40.631,
|
8 |
+
"eval_steps_per_second": 5.079
|
9 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8e735a49adc1ab5e49253adf89a595d5b764fa8a5797d5f424662730a4fa74a9
|
3 |
+
size 235459281
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"do_lower_case": true, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "CenIA/albert_xlarge_spanish", "tokenizer_class": "AlbertTokenizer"}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"train_loss": 0.1292072490857808,
|
4 |
+
"train_runtime": 3156.6951,
|
5 |
+
"train_samples": 9458,
|
6 |
+
"train_samples_per_second": 8.989,
|
7 |
+
"train_steps_per_second": 0.562
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,196 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.20911003649234772,
|
3 |
+
"best_model_checkpoint": "/data/jcanete/all_results/mldoc/albeto_xlarge/epochs_3_bs_16_lr_5e-6/checkpoint-1500",
|
4 |
+
"epoch": 2.9991546914623837,
|
5 |
+
"global_step": 1773,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.17,
|
12 |
+
"eval_accuracy": 0.2770000100135803,
|
13 |
+
"eval_loss": 1.3528416156768799,
|
14 |
+
"eval_runtime": 24.2204,
|
15 |
+
"eval_samples_per_second": 41.287,
|
16 |
+
"eval_steps_per_second": 5.161,
|
17 |
+
"step": 100
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.34,
|
21 |
+
"eval_accuracy": 0.47999998927116394,
|
22 |
+
"eval_loss": 1.0430142879486084,
|
23 |
+
"eval_runtime": 23.7736,
|
24 |
+
"eval_samples_per_second": 42.063,
|
25 |
+
"eval_steps_per_second": 5.258,
|
26 |
+
"step": 200
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.51,
|
30 |
+
"eval_accuracy": 0.5640000104904175,
|
31 |
+
"eval_loss": 1.0979323387145996,
|
32 |
+
"eval_runtime": 23.5496,
|
33 |
+
"eval_samples_per_second": 42.464,
|
34 |
+
"eval_steps_per_second": 5.308,
|
35 |
+
"step": 300
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 0.68,
|
39 |
+
"eval_accuracy": 0.5720000267028809,
|
40 |
+
"eval_loss": 0.9388349652290344,
|
41 |
+
"eval_runtime": 25.4729,
|
42 |
+
"eval_samples_per_second": 39.257,
|
43 |
+
"eval_steps_per_second": 4.907,
|
44 |
+
"step": 400
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.85,
|
48 |
+
"learning_rate": 3.601240834743373e-06,
|
49 |
+
"loss": 0.2676,
|
50 |
+
"step": 500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.85,
|
54 |
+
"eval_accuracy": 0.7160000205039978,
|
55 |
+
"eval_loss": 0.6925698518753052,
|
56 |
+
"eval_runtime": 24.8675,
|
57 |
+
"eval_samples_per_second": 40.213,
|
58 |
+
"eval_steps_per_second": 5.027,
|
59 |
+
"step": 500
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 1.02,
|
63 |
+
"eval_accuracy": 0.8560000061988831,
|
64 |
+
"eval_loss": 0.673073947429657,
|
65 |
+
"eval_runtime": 25.8013,
|
66 |
+
"eval_samples_per_second": 38.758,
|
67 |
+
"eval_steps_per_second": 4.845,
|
68 |
+
"step": 600
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 1.18,
|
72 |
+
"eval_accuracy": 0.9369999766349792,
|
73 |
+
"eval_loss": 0.3746216893196106,
|
74 |
+
"eval_runtime": 25.6232,
|
75 |
+
"eval_samples_per_second": 39.027,
|
76 |
+
"eval_steps_per_second": 4.878,
|
77 |
+
"step": 700
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 1.35,
|
81 |
+
"eval_accuracy": 0.9350000023841858,
|
82 |
+
"eval_loss": 0.35705798864364624,
|
83 |
+
"eval_runtime": 25.7852,
|
84 |
+
"eval_samples_per_second": 38.782,
|
85 |
+
"eval_steps_per_second": 4.848,
|
86 |
+
"step": 800
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.52,
|
90 |
+
"eval_accuracy": 0.9409999847412109,
|
91 |
+
"eval_loss": 0.27689608931541443,
|
92 |
+
"eval_runtime": 24.8438,
|
93 |
+
"eval_samples_per_second": 40.252,
|
94 |
+
"eval_steps_per_second": 5.031,
|
95 |
+
"step": 900
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 1.69,
|
99 |
+
"learning_rate": 2.1912013536379022e-06,
|
100 |
+
"loss": 0.1019,
|
101 |
+
"step": 1000
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.69,
|
105 |
+
"eval_accuracy": 0.9350000023841858,
|
106 |
+
"eval_loss": 0.291538268327713,
|
107 |
+
"eval_runtime": 26.3153,
|
108 |
+
"eval_samples_per_second": 38.001,
|
109 |
+
"eval_steps_per_second": 4.75,
|
110 |
+
"step": 1000
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.86,
|
114 |
+
"eval_accuracy": 0.9509999752044678,
|
115 |
+
"eval_loss": 0.21956732869148254,
|
116 |
+
"eval_runtime": 24.9343,
|
117 |
+
"eval_samples_per_second": 40.105,
|
118 |
+
"eval_steps_per_second": 5.013,
|
119 |
+
"step": 1100
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 2.03,
|
123 |
+
"eval_accuracy": 0.9520000219345093,
|
124 |
+
"eval_loss": 0.2259828746318817,
|
125 |
+
"eval_runtime": 25.7253,
|
126 |
+
"eval_samples_per_second": 38.872,
|
127 |
+
"eval_steps_per_second": 4.859,
|
128 |
+
"step": 1200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 2.2,
|
132 |
+
"eval_accuracy": 0.9509999752044678,
|
133 |
+
"eval_loss": 0.256782591342926,
|
134 |
+
"eval_runtime": 25.7431,
|
135 |
+
"eval_samples_per_second": 38.845,
|
136 |
+
"eval_steps_per_second": 4.856,
|
137 |
+
"step": 1300
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 2.37,
|
141 |
+
"eval_accuracy": 0.9549999833106995,
|
142 |
+
"eval_loss": 0.2290709912776947,
|
143 |
+
"eval_runtime": 24.8624,
|
144 |
+
"eval_samples_per_second": 40.221,
|
145 |
+
"eval_steps_per_second": 5.028,
|
146 |
+
"step": 1400
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 2.54,
|
150 |
+
"learning_rate": 7.81161872532431e-07,
|
151 |
+
"loss": 0.0593,
|
152 |
+
"step": 1500
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 2.54,
|
156 |
+
"eval_accuracy": 0.9589999914169312,
|
157 |
+
"eval_loss": 0.20911003649234772,
|
158 |
+
"eval_runtime": 25.438,
|
159 |
+
"eval_samples_per_second": 39.311,
|
160 |
+
"eval_steps_per_second": 4.914,
|
161 |
+
"step": 1500
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 2.71,
|
165 |
+
"eval_accuracy": 0.9490000009536743,
|
166 |
+
"eval_loss": 0.2575547695159912,
|
167 |
+
"eval_runtime": 25.2822,
|
168 |
+
"eval_samples_per_second": 39.554,
|
169 |
+
"eval_steps_per_second": 4.944,
|
170 |
+
"step": 1600
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.88,
|
174 |
+
"eval_accuracy": 0.9509999752044678,
|
175 |
+
"eval_loss": 0.23298123478889465,
|
176 |
+
"eval_runtime": 25.3064,
|
177 |
+
"eval_samples_per_second": 39.516,
|
178 |
+
"eval_steps_per_second": 4.939,
|
179 |
+
"step": 1700
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 3.0,
|
183 |
+
"step": 1773,
|
184 |
+
"total_flos": 3375408735295488.0,
|
185 |
+
"train_loss": 0.1292072490857808,
|
186 |
+
"train_runtime": 3156.6951,
|
187 |
+
"train_samples_per_second": 8.989,
|
188 |
+
"train_steps_per_second": 0.562
|
189 |
+
}
|
190 |
+
],
|
191 |
+
"max_steps": 1773,
|
192 |
+
"num_train_epochs": 3,
|
193 |
+
"total_flos": 3375408735295488.0,
|
194 |
+
"trial_name": null,
|
195 |
+
"trial_params": null
|
196 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:953c7a5d3ce4d8d3ecb032712f0f30c74b466a219b2e6abc755f878a789a3a67
|
3 |
+
size 2991
|