josecannete
commited on
Commit
路
a3e0449
1
Parent(s):
cb7792f
adding model finetuned on tar
Browse files- all_results.json +11 -0
- config.json +33 -0
- eval_nbest_predictions.json +0 -0
- eval_predictions.json +0 -0
- eval_results.json +6 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- tokenizer.json +0 -0
- tokenizer_config.json +23 -0
- train_results.json +8 -0
- trainer_state.json +367 -0
- training_args.bin +3 -0
all_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"eval_exact_match": 57.28476821192053,
|
4 |
+
"eval_f1": 74.36995381137226,
|
5 |
+
"eval_samples": 10624,
|
6 |
+
"train_loss": 1.524520064486953,
|
7 |
+
"train_runtime": 1743.0774,
|
8 |
+
"train_samples": 87747,
|
9 |
+
"train_samples_per_second": 100.681,
|
10 |
+
"train_steps_per_second": 6.293
|
11 |
+
}
|
config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "dccuchile/albert-base-6-spanish",
|
3 |
+
"architectures": [
|
4 |
+
"AlbertForQuestionAnswering"
|
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": 768,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"inner_group_num": 1,
|
18 |
+
"intermediate_size": 3072,
|
19 |
+
"layer_norm_eps": 1e-12,
|
20 |
+
"max_position_embeddings": 512,
|
21 |
+
"model_type": "albert",
|
22 |
+
"net_structure_type": 0,
|
23 |
+
"num_attention_heads": 12,
|
24 |
+
"num_hidden_groups": 1,
|
25 |
+
"num_hidden_layers": 6,
|
26 |
+
"num_memory_blocks": 0,
|
27 |
+
"pad_token_id": 0,
|
28 |
+
"position_embedding_type": "absolute",
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.25.1",
|
31 |
+
"type_vocab_size": 2,
|
32 |
+
"vocab_size": 31000
|
33 |
+
}
|
eval_nbest_predictions.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
eval_predictions.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
eval_results.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"eval_exact_match": 57.28476821192053,
|
4 |
+
"eval_f1": 74.36995381137226,
|
5 |
+
"eval_samples": 10624
|
6 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2d07e086501fa1852ac3f3d3c80ed17d8c5ab457edd9854ffdc91e153e187ecf
|
3 |
+
size 44903231
|
special_tokens_map.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "<pad>",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": "<unk>"
|
9 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"do_lower_case": true,
|
5 |
+
"eos_token": "[SEP]",
|
6 |
+
"keep_accents": true,
|
7 |
+
"mask_token": {
|
8 |
+
"__type": "AddedToken",
|
9 |
+
"content": "[MASK]",
|
10 |
+
"lstrip": true,
|
11 |
+
"normalized": true,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
},
|
15 |
+
"model_max_length": 512,
|
16 |
+
"name_or_path": "dccuchile/albert-base-6-spanish",
|
17 |
+
"pad_token": "<pad>",
|
18 |
+
"remove_space": true,
|
19 |
+
"sep_token": "[SEP]",
|
20 |
+
"special_tokens_map_file": null,
|
21 |
+
"tokenizer_class": "AlbertTokenizer",
|
22 |
+
"unk_token": "<unk>"
|
23 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"train_loss": 1.524520064486953,
|
4 |
+
"train_runtime": 1743.0774,
|
5 |
+
"train_samples": 87747,
|
6 |
+
"train_samples_per_second": 100.681,
|
7 |
+
"train_steps_per_second": 6.293
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,367 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 74.36995381137226,
|
3 |
+
"best_model_checkpoint": "/home/jcanete/ft-data/all_results/tar/albeto_base_6/epochs_2_bs_16_lr_5e-5/checkpoint-8700",
|
4 |
+
"epoch": 2.0,
|
5 |
+
"global_step": 10970,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.05,
|
12 |
+
"eval_exact_match": 40.719016083254495,
|
13 |
+
"eval_f1": 58.77945049839472,
|
14 |
+
"step": 300
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.09,
|
18 |
+
"learning_rate": 4.773473108477667e-05,
|
19 |
+
"loss": 2.5693,
|
20 |
+
"step": 500
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.11,
|
24 |
+
"eval_exact_match": 45.44938505203406,
|
25 |
+
"eval_f1": 63.936960472857905,
|
26 |
+
"step": 600
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.16,
|
30 |
+
"eval_exact_match": 48.42005676442763,
|
31 |
+
"eval_f1": 66.7942849285666,
|
32 |
+
"step": 900
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.18,
|
36 |
+
"learning_rate": 4.545578851412944e-05,
|
37 |
+
"loss": 1.9654,
|
38 |
+
"step": 1000
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.22,
|
42 |
+
"eval_exact_match": 49.725638599810786,
|
43 |
+
"eval_f1": 68.05815355034528,
|
44 |
+
"step": 1200
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.27,
|
48 |
+
"learning_rate": 4.3176845943482223e-05,
|
49 |
+
"loss": 1.8622,
|
50 |
+
"step": 1500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.27,
|
54 |
+
"eval_exact_match": 50.37842951750237,
|
55 |
+
"eval_f1": 68.12485071659977,
|
56 |
+
"step": 1500
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.33,
|
60 |
+
"eval_exact_match": 51.59886471144749,
|
61 |
+
"eval_f1": 69.3844758904365,
|
62 |
+
"step": 1800
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.36,
|
66 |
+
"learning_rate": 4.0897903372835004e-05,
|
67 |
+
"loss": 1.8064,
|
68 |
+
"step": 2000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.38,
|
72 |
+
"eval_exact_match": 52.92336802270577,
|
73 |
+
"eval_f1": 71.05206739179368,
|
74 |
+
"step": 2100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.44,
|
78 |
+
"eval_exact_match": 52.535477767265846,
|
79 |
+
"eval_f1": 70.11029061313148,
|
80 |
+
"step": 2400
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.46,
|
84 |
+
"learning_rate": 3.8618960802187785e-05,
|
85 |
+
"loss": 1.7133,
|
86 |
+
"step": 2500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.49,
|
90 |
+
"eval_exact_match": 52.904446546830656,
|
91 |
+
"eval_f1": 70.98616483675112,
|
92 |
+
"step": 2700
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.55,
|
96 |
+
"learning_rate": 3.6340018231540566e-05,
|
97 |
+
"loss": 1.7045,
|
98 |
+
"step": 3000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.55,
|
102 |
+
"eval_exact_match": 54.276253547776726,
|
103 |
+
"eval_f1": 71.66909074175824,
|
104 |
+
"step": 3000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.6,
|
108 |
+
"eval_exact_match": 54.46546830652791,
|
109 |
+
"eval_f1": 71.54479654097987,
|
110 |
+
"step": 3300
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.64,
|
114 |
+
"learning_rate": 3.406107566089335e-05,
|
115 |
+
"loss": 1.6732,
|
116 |
+
"step": 3500
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.66,
|
120 |
+
"eval_exact_match": 55.0236518448439,
|
121 |
+
"eval_f1": 72.43165471889594,
|
122 |
+
"step": 3600
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.71,
|
126 |
+
"eval_exact_match": 55.21286660359508,
|
127 |
+
"eval_f1": 72.64020525017258,
|
128 |
+
"step": 3900
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.73,
|
132 |
+
"learning_rate": 3.178213309024613e-05,
|
133 |
+
"loss": 1.6218,
|
134 |
+
"step": 4000
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.77,
|
138 |
+
"eval_exact_match": 55.581835383159884,
|
139 |
+
"eval_f1": 73.12194401332194,
|
140 |
+
"step": 4200
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.82,
|
144 |
+
"learning_rate": 2.9503190519598906e-05,
|
145 |
+
"loss": 1.6245,
|
146 |
+
"step": 4500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.82,
|
150 |
+
"eval_exact_match": 55.65752128666036,
|
151 |
+
"eval_f1": 72.86127958084641,
|
152 |
+
"step": 4500
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.88,
|
156 |
+
"eval_exact_match": 55.96026490066225,
|
157 |
+
"eval_f1": 73.4084850665819,
|
158 |
+
"step": 4800
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.91,
|
162 |
+
"learning_rate": 2.7224247948951686e-05,
|
163 |
+
"loss": 1.6021,
|
164 |
+
"step": 5000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.93,
|
168 |
+
"eval_exact_match": 56.40491958372753,
|
169 |
+
"eval_f1": 73.57999833438744,
|
170 |
+
"step": 5100
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.98,
|
174 |
+
"eval_exact_match": 56.34815515610217,
|
175 |
+
"eval_f1": 73.92632868373076,
|
176 |
+
"step": 5400
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 1.0,
|
180 |
+
"learning_rate": 2.4949863263445765e-05,
|
181 |
+
"loss": 1.5458,
|
182 |
+
"step": 5500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 1.04,
|
186 |
+
"eval_exact_match": 56.7360454115421,
|
187 |
+
"eval_f1": 73.96946840195473,
|
188 |
+
"step": 5700
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.09,
|
192 |
+
"learning_rate": 2.2670920692798542e-05,
|
193 |
+
"loss": 1.2682,
|
194 |
+
"step": 6000
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 1.09,
|
198 |
+
"eval_exact_match": 56.71712393566698,
|
199 |
+
"eval_f1": 73.83807242592808,
|
200 |
+
"step": 6000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 1.15,
|
204 |
+
"eval_exact_match": 56.61305581835383,
|
205 |
+
"eval_f1": 73.47868870604212,
|
206 |
+
"step": 6300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.19,
|
210 |
+
"learning_rate": 2.0391978122151323e-05,
|
211 |
+
"loss": 1.2702,
|
212 |
+
"step": 6500
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.2,
|
216 |
+
"eval_exact_match": 56.08325449385052,
|
217 |
+
"eval_f1": 73.87945111610915,
|
218 |
+
"step": 6600
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 1.26,
|
222 |
+
"eval_exact_match": 56.395458845789975,
|
223 |
+
"eval_f1": 73.26116080395376,
|
224 |
+
"step": 6900
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.28,
|
228 |
+
"learning_rate": 1.8113035551504104e-05,
|
229 |
+
"loss": 1.2553,
|
230 |
+
"step": 7000
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 1.31,
|
234 |
+
"eval_exact_match": 56.50898770104068,
|
235 |
+
"eval_f1": 73.92339178593369,
|
236 |
+
"step": 7200
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 1.37,
|
240 |
+
"learning_rate": 1.583409298085688e-05,
|
241 |
+
"loss": 1.2378,
|
242 |
+
"step": 7500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.37,
|
246 |
+
"eval_exact_match": 56.471144749290445,
|
247 |
+
"eval_f1": 74.01594585064186,
|
248 |
+
"step": 7500
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.42,
|
252 |
+
"eval_exact_match": 56.61305581835383,
|
253 |
+
"eval_f1": 74.11650132906428,
|
254 |
+
"step": 7800
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.46,
|
258 |
+
"learning_rate": 1.3555150410209664e-05,
|
259 |
+
"loss": 1.3004,
|
260 |
+
"step": 8000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 1.48,
|
264 |
+
"eval_exact_match": 56.64143803216651,
|
265 |
+
"eval_f1": 74.03120203258294,
|
266 |
+
"step": 8100
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 1.53,
|
270 |
+
"eval_exact_match": 56.84011352885525,
|
271 |
+
"eval_f1": 74.3235867027388,
|
272 |
+
"step": 8400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 1.55,
|
276 |
+
"learning_rate": 1.1276207839562443e-05,
|
277 |
+
"loss": 1.2482,
|
278 |
+
"step": 8500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 1.59,
|
282 |
+
"eval_exact_match": 57.28476821192053,
|
283 |
+
"eval_f1": 74.36995381137226,
|
284 |
+
"step": 8700
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.64,
|
288 |
+
"learning_rate": 8.997265268915224e-06,
|
289 |
+
"loss": 1.2677,
|
290 |
+
"step": 9000
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 1.64,
|
294 |
+
"eval_exact_match": 57.17123935666982,
|
295 |
+
"eval_f1": 74.31360595646503,
|
296 |
+
"step": 9000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.7,
|
300 |
+
"eval_exact_match": 56.9914853358562,
|
301 |
+
"eval_f1": 74.27345402299513,
|
302 |
+
"step": 9300
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 1.73,
|
306 |
+
"learning_rate": 6.7183226982680034e-06,
|
307 |
+
"loss": 1.257,
|
308 |
+
"step": 9500
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 1.75,
|
312 |
+
"eval_exact_match": 56.80227057710501,
|
313 |
+
"eval_f1": 74.05651657911156,
|
314 |
+
"step": 9600
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 1.8,
|
318 |
+
"eval_exact_match": 57.05771050141911,
|
319 |
+
"eval_f1": 74.23683269095346,
|
320 |
+
"step": 9900
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 1.82,
|
324 |
+
"learning_rate": 4.448495897903373e-06,
|
325 |
+
"loss": 1.2459,
|
326 |
+
"step": 10000
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 1.86,
|
330 |
+
"eval_exact_match": 57.237464522232735,
|
331 |
+
"eval_f1": 74.29842936518452,
|
332 |
+
"step": 10200
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 1.91,
|
336 |
+
"learning_rate": 2.169553327256153e-06,
|
337 |
+
"loss": 1.2465,
|
338 |
+
"step": 10500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 1.91,
|
342 |
+
"eval_exact_match": 57.17123935666982,
|
343 |
+
"eval_f1": 74.35402701072998,
|
344 |
+
"step": 10500
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 1.97,
|
348 |
+
"eval_exact_match": 57.142857142857146,
|
349 |
+
"eval_f1": 74.2724134993522,
|
350 |
+
"step": 10800
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 2.0,
|
354 |
+
"step": 10970,
|
355 |
+
"total_flos": 2544773915225664.0,
|
356 |
+
"train_loss": 1.524520064486953,
|
357 |
+
"train_runtime": 1743.0774,
|
358 |
+
"train_samples_per_second": 100.681,
|
359 |
+
"train_steps_per_second": 6.293
|
360 |
+
}
|
361 |
+
],
|
362 |
+
"max_steps": 10970,
|
363 |
+
"num_train_epochs": 2,
|
364 |
+
"total_flos": 2544773915225664.0,
|
365 |
+
"trial_name": null,
|
366 |
+
"trial_params": null
|
367 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:01e14d27f23e12c5dde9519de52f275f8a47fba2c872f7c1f8dd2204332a57d6
|
3 |
+
size 3515
|