commit files to HF hub
Browse files- added_tokens.json +1 -0
- config.json +42 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +676 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
added_tokens.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"[service-unknown]": 30536, "[noise-Positive]": 30531, "[service-Negative]": 30534, "[noise-no majority]": 30533, "[ambiance-no majority]": 30529, "[food-unknown]": 30524, "[food-Positive]": 30523, "[noise-Negative]": 30530, "[service-Positive]": 30535, "[ambiance-Negative]": 30526, "[ambiance-Positive]": 30527, "[noise-unknown]": 30532, "[food-no majority]": 30525, "[ambiance-unknown]": 30528, "[service-no majority]": 30537, "[food-Negative]": 30522}
|
config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "CEBaB/bert-base-uncased.CEBaB.sa.5-class.exclusive.seed_77",
|
3 |
+
"architectures": [
|
4 |
+
"BertForFactualCounterfactualSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"finetuning_task": "opentable",
|
9 |
+
"gradient_checkpointing": false,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": 0,
|
15 |
+
"1": 1,
|
16 |
+
"2": 2,
|
17 |
+
"3": 3,
|
18 |
+
"4": 4
|
19 |
+
},
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"intermediate_size": 3072,
|
22 |
+
"label2id": {
|
23 |
+
"0": 0,
|
24 |
+
"1": 1,
|
25 |
+
"2": 2,
|
26 |
+
"3": 3,
|
27 |
+
"4": 4
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-12,
|
30 |
+
"max_position_embeddings": 512,
|
31 |
+
"model_type": "bert",
|
32 |
+
"num_attention_heads": 12,
|
33 |
+
"num_hidden_layers": 12,
|
34 |
+
"pad_token_id": 0,
|
35 |
+
"position_embedding_type": "absolute",
|
36 |
+
"problem_type": "single_label_classification",
|
37 |
+
"torch_dtype": "float32",
|
38 |
+
"transformers_version": "4.18.0",
|
39 |
+
"type_vocab_size": 2,
|
40 |
+
"use_cache": true,
|
41 |
+
"vocab_size": 30538
|
42 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:88285272ed278ace9aa481d00143ceaa2cade6ebc1dc64bdaa7777902edb7106
|
3 |
+
size 880829397
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:86ef92e1d6ff6f4ef26768b88c32fcb0a9ab4cae68b349e1259f6418ca67d010
|
3 |
+
size 440427497
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:382769948bb4f5e38fda7a3b6c56ac4788045f1ef239850a126ef46ddaced519
|
3 |
+
size 15523
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f678f0f7c14334d1dd104139028feff1f69bed7de6d9fa457d52ab6fbd9c49c0
|
3 |
+
size 623
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "additional_special_tokens": ["[food-Negative]", "[food-Positive]", "[food-unknown]", "[food-no majority]", "[ambiance-Negative]", "[ambiance-Positive]", "[ambiance-unknown]", "[ambiance-no majority]", "[noise-Negative]", "[noise-Positive]", "[noise-unknown]", "[noise-no majority]", "[service-Negative]", "[service-Positive]", "[service-unknown]", "[service-no majority]"]}
|
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, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}
|
trainer_state.json
ADDED
@@ -0,0 +1,676 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.45797210931777954,
|
3 |
+
"best_model_checkpoint": "model_output/e2e_opentable_5_way__approximate__0-shot__seed-77__bert-base-uncased/checkpoint-1000",
|
4 |
+
"epoch": 1.7152658662092626,
|
5 |
+
"global_step": 1000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"learning_rate": 4.9783362218370885e-05,
|
13 |
+
"loss": 15.0971,
|
14 |
+
"step": 20
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.07,
|
18 |
+
"learning_rate": 4.956672443674177e-05,
|
19 |
+
"loss": 10.8654,
|
20 |
+
"step": 40
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.09,
|
24 |
+
"eval_distillation_accuracy_counterfactual": 0.512827090815803,
|
25 |
+
"eval_distillation_accuracy_factual": 0.8973832734735762,
|
26 |
+
"eval_distillation_f1_counterfactual": 0.38283775595303926,
|
27 |
+
"eval_distillation_f1_factual": 0.8849844553565298,
|
28 |
+
"eval_groundtruth_accuracy_counterfactual": 0.47998973832734737,
|
29 |
+
"eval_groundtruth_f1_counterfactual": 0.35799290350733415,
|
30 |
+
"eval_groundtruth_f1_factual": 0.6974663941237289,
|
31 |
+
"eval_icace_cosine": 0.4845265746116638,
|
32 |
+
"eval_icace_l2": 0.6881101131439209,
|
33 |
+
"eval_icace_normdiff": 0.4512614905834198,
|
34 |
+
"eval_loss": 7.50442361831665,
|
35 |
+
"eval_runtime": 22.2098,
|
36 |
+
"eval_samples_per_second": 175.508,
|
37 |
+
"eval_steps_per_second": 2.747,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.1,
|
42 |
+
"learning_rate": 4.935008665511265e-05,
|
43 |
+
"loss": 10.0023,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.14,
|
48 |
+
"learning_rate": 4.913344887348354e-05,
|
49 |
+
"loss": 9.8393,
|
50 |
+
"step": 80
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.17,
|
54 |
+
"learning_rate": 4.891681109185442e-05,
|
55 |
+
"loss": 9.2084,
|
56 |
+
"step": 100
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.17,
|
60 |
+
"eval_distillation_accuracy_counterfactual": 0.534376603386352,
|
61 |
+
"eval_distillation_accuracy_factual": 0.879168804515136,
|
62 |
+
"eval_distillation_f1_counterfactual": 0.47020198824723397,
|
63 |
+
"eval_distillation_f1_factual": 0.8636644497351712,
|
64 |
+
"eval_groundtruth_accuracy_counterfactual": 0.521806054386865,
|
65 |
+
"eval_groundtruth_f1_counterfactual": 0.46415698862260973,
|
66 |
+
"eval_groundtruth_f1_factual": 0.6787169266269484,
|
67 |
+
"eval_icace_cosine": 0.474692165851593,
|
68 |
+
"eval_icace_l2": 0.6402959823608398,
|
69 |
+
"eval_icace_normdiff": 0.41231343150138855,
|
70 |
+
"eval_loss": 7.25449275970459,
|
71 |
+
"eval_runtime": 22.2189,
|
72 |
+
"eval_samples_per_second": 175.436,
|
73 |
+
"eval_steps_per_second": 2.745,
|
74 |
+
"step": 100
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.21,
|
78 |
+
"learning_rate": 4.8700173310225307e-05,
|
79 |
+
"loss": 9.2547,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.24,
|
84 |
+
"learning_rate": 4.848353552859619e-05,
|
85 |
+
"loss": 9.2275,
|
86 |
+
"step": 140
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.26,
|
90 |
+
"eval_distillation_accuracy_counterfactual": 0.5028219599794767,
|
91 |
+
"eval_distillation_accuracy_factual": 0.8245253976398152,
|
92 |
+
"eval_distillation_f1_counterfactual": 0.41359201224181497,
|
93 |
+
"eval_distillation_f1_factual": 0.8013559665708911,
|
94 |
+
"eval_groundtruth_accuracy_counterfactual": 0.49204720369420213,
|
95 |
+
"eval_groundtruth_f1_counterfactual": 0.4109951641517333,
|
96 |
+
"eval_groundtruth_f1_factual": 0.6495764505483296,
|
97 |
+
"eval_icace_cosine": 0.46765828132629395,
|
98 |
+
"eval_icace_l2": 0.6432615518569946,
|
99 |
+
"eval_icace_normdiff": 0.38947969675064087,
|
100 |
+
"eval_loss": 7.776533126831055,
|
101 |
+
"eval_runtime": 22.1488,
|
102 |
+
"eval_samples_per_second": 175.991,
|
103 |
+
"eval_steps_per_second": 2.754,
|
104 |
+
"step": 150
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.27,
|
108 |
+
"learning_rate": 4.826689774696707e-05,
|
109 |
+
"loss": 8.9152,
|
110 |
+
"step": 160
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.31,
|
114 |
+
"learning_rate": 4.8050259965337955e-05,
|
115 |
+
"loss": 8.7736,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.34,
|
120 |
+
"learning_rate": 4.7833622183708845e-05,
|
121 |
+
"loss": 8.8387,
|
122 |
+
"step": 200
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.34,
|
126 |
+
"eval_distillation_accuracy_counterfactual": 0.5177013853258081,
|
127 |
+
"eval_distillation_accuracy_factual": 0.8614674191893279,
|
128 |
+
"eval_distillation_f1_counterfactual": 0.41268689402882053,
|
129 |
+
"eval_distillation_f1_factual": 0.8521590725130646,
|
130 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5030785017957927,
|
131 |
+
"eval_groundtruth_f1_counterfactual": 0.40850979925255315,
|
132 |
+
"eval_groundtruth_f1_factual": 0.6669518573115495,
|
133 |
+
"eval_icace_cosine": 0.4691610634326935,
|
134 |
+
"eval_icace_l2": 0.6340324282646179,
|
135 |
+
"eval_icace_normdiff": 0.39094486832618713,
|
136 |
+
"eval_loss": 7.458261013031006,
|
137 |
+
"eval_runtime": 22.3381,
|
138 |
+
"eval_samples_per_second": 174.5,
|
139 |
+
"eval_steps_per_second": 2.731,
|
140 |
+
"step": 200
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.38,
|
144 |
+
"learning_rate": 4.761698440207972e-05,
|
145 |
+
"loss": 8.772,
|
146 |
+
"step": 220
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.41,
|
150 |
+
"learning_rate": 4.740034662045061e-05,
|
151 |
+
"loss": 8.7734,
|
152 |
+
"step": 240
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.43,
|
156 |
+
"eval_distillation_accuracy_counterfactual": 0.4671626475115444,
|
157 |
+
"eval_distillation_accuracy_factual": 0.8671113391482812,
|
158 |
+
"eval_distillation_f1_counterfactual": 0.38582609157213904,
|
159 |
+
"eval_distillation_f1_factual": 0.8563293543368673,
|
160 |
+
"eval_groundtruth_accuracy_counterfactual": 0.46151872755259105,
|
161 |
+
"eval_groundtruth_f1_counterfactual": 0.39182214143822086,
|
162 |
+
"eval_groundtruth_f1_factual": 0.6883791067687154,
|
163 |
+
"eval_icace_cosine": 0.4946799874305725,
|
164 |
+
"eval_icace_l2": 0.6939188241958618,
|
165 |
+
"eval_icace_normdiff": 0.43225187063217163,
|
166 |
+
"eval_loss": 8.251187324523926,
|
167 |
+
"eval_runtime": 22.1682,
|
168 |
+
"eval_samples_per_second": 175.838,
|
169 |
+
"eval_steps_per_second": 2.752,
|
170 |
+
"step": 250
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.45,
|
174 |
+
"learning_rate": 4.7183708838821494e-05,
|
175 |
+
"loss": 8.5326,
|
176 |
+
"step": 260
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.48,
|
180 |
+
"learning_rate": 4.6967071057192376e-05,
|
181 |
+
"loss": 8.593,
|
182 |
+
"step": 280
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.51,
|
186 |
+
"learning_rate": 4.675043327556326e-05,
|
187 |
+
"loss": 8.5207,
|
188 |
+
"step": 300
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.51,
|
192 |
+
"eval_distillation_accuracy_counterfactual": 0.5187275525910724,
|
193 |
+
"eval_distillation_accuracy_factual": 0.8471010774756286,
|
194 |
+
"eval_distillation_f1_counterfactual": 0.4809461537601309,
|
195 |
+
"eval_distillation_f1_factual": 0.8415144400606737,
|
196 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5023088763468445,
|
197 |
+
"eval_groundtruth_f1_counterfactual": 0.46717757401427457,
|
198 |
+
"eval_groundtruth_f1_factual": 0.6817982025512722,
|
199 |
+
"eval_icace_cosine": 0.48118895292282104,
|
200 |
+
"eval_icace_l2": 0.6521334052085876,
|
201 |
+
"eval_icace_normdiff": 0.4162002503871918,
|
202 |
+
"eval_loss": 7.6342902183532715,
|
203 |
+
"eval_runtime": 22.1084,
|
204 |
+
"eval_samples_per_second": 176.313,
|
205 |
+
"eval_steps_per_second": 2.759,
|
206 |
+
"step": 300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.55,
|
210 |
+
"learning_rate": 4.653379549393415e-05,
|
211 |
+
"loss": 8.3762,
|
212 |
+
"step": 320
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.58,
|
216 |
+
"learning_rate": 4.6317157712305025e-05,
|
217 |
+
"loss": 8.3251,
|
218 |
+
"step": 340
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.6,
|
222 |
+
"eval_distillation_accuracy_counterfactual": 0.5295023088763469,
|
223 |
+
"eval_distillation_accuracy_factual": 0.8568496664956388,
|
224 |
+
"eval_distillation_f1_counterfactual": 0.4641469168961435,
|
225 |
+
"eval_distillation_f1_factual": 0.8494977579970042,
|
226 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5166752180605438,
|
227 |
+
"eval_groundtruth_f1_counterfactual": 0.4567649352125045,
|
228 |
+
"eval_groundtruth_f1_factual": 0.6694324318001126,
|
229 |
+
"eval_icace_cosine": 0.46943578124046326,
|
230 |
+
"eval_icace_l2": 0.6349437236785889,
|
231 |
+
"eval_icace_normdiff": 0.39818716049194336,
|
232 |
+
"eval_loss": 7.341701507568359,
|
233 |
+
"eval_runtime": 22.1905,
|
234 |
+
"eval_samples_per_second": 175.66,
|
235 |
+
"eval_steps_per_second": 2.749,
|
236 |
+
"step": 350
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.62,
|
240 |
+
"learning_rate": 4.6100519930675915e-05,
|
241 |
+
"loss": 8.2535,
|
242 |
+
"step": 360
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.65,
|
246 |
+
"learning_rate": 4.58838821490468e-05,
|
247 |
+
"loss": 8.3502,
|
248 |
+
"step": 380
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.69,
|
252 |
+
"learning_rate": 4.566724436741768e-05,
|
253 |
+
"loss": 8.1628,
|
254 |
+
"step": 400
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.69,
|
258 |
+
"eval_distillation_accuracy_counterfactual": 0.5397639815289892,
|
259 |
+
"eval_distillation_accuracy_factual": 0.8355566957414059,
|
260 |
+
"eval_distillation_f1_counterfactual": 0.46033001340715457,
|
261 |
+
"eval_distillation_f1_factual": 0.8292453735319636,
|
262 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5223191380194971,
|
263 |
+
"eval_groundtruth_f1_counterfactual": 0.44829969536055286,
|
264 |
+
"eval_groundtruth_f1_factual": 0.6718756022768833,
|
265 |
+
"eval_icace_cosine": 0.460631787776947,
|
266 |
+
"eval_icace_l2": 0.6126735210418701,
|
267 |
+
"eval_icace_normdiff": 0.3810984492301941,
|
268 |
+
"eval_loss": 7.215612411499023,
|
269 |
+
"eval_runtime": 22.2088,
|
270 |
+
"eval_samples_per_second": 175.516,
|
271 |
+
"eval_steps_per_second": 2.747,
|
272 |
+
"step": 400
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.72,
|
276 |
+
"learning_rate": 4.5450606585788563e-05,
|
277 |
+
"loss": 8.1842,
|
278 |
+
"step": 420
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.75,
|
282 |
+
"learning_rate": 4.5233968804159446e-05,
|
283 |
+
"loss": 8.2209,
|
284 |
+
"step": 440
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.77,
|
288 |
+
"eval_distillation_accuracy_counterfactual": 0.5256541816316059,
|
289 |
+
"eval_distillation_accuracy_factual": 0.8045151359671626,
|
290 |
+
"eval_distillation_f1_counterfactual": 0.41138103040788077,
|
291 |
+
"eval_distillation_f1_factual": 0.798165576043234,
|
292 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5248845561826577,
|
293 |
+
"eval_groundtruth_f1_counterfactual": 0.4184296633356827,
|
294 |
+
"eval_groundtruth_f1_factual": 0.66434863984353,
|
295 |
+
"eval_icace_cosine": 0.47930216789245605,
|
296 |
+
"eval_icace_l2": 0.6362362504005432,
|
297 |
+
"eval_icace_normdiff": 0.4014618396759033,
|
298 |
+
"eval_loss": 7.654078483581543,
|
299 |
+
"eval_runtime": 22.2042,
|
300 |
+
"eval_samples_per_second": 175.552,
|
301 |
+
"eval_steps_per_second": 2.747,
|
302 |
+
"step": 450
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.79,
|
306 |
+
"learning_rate": 4.501733102253033e-05,
|
307 |
+
"loss": 8.2117,
|
308 |
+
"step": 460
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.82,
|
312 |
+
"learning_rate": 4.480069324090121e-05,
|
313 |
+
"loss": 8.246,
|
314 |
+
"step": 480
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.86,
|
318 |
+
"learning_rate": 4.45840554592721e-05,
|
319 |
+
"loss": 8.1357,
|
320 |
+
"step": 500
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.86,
|
324 |
+
"eval_distillation_accuracy_counterfactual": 0.5497691123653156,
|
325 |
+
"eval_distillation_accuracy_factual": 0.8237557721908672,
|
326 |
+
"eval_distillation_f1_counterfactual": 0.45037064661810805,
|
327 |
+
"eval_distillation_f1_factual": 0.8056668211328342,
|
328 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5402770651616213,
|
329 |
+
"eval_groundtruth_f1_counterfactual": 0.44977490137963505,
|
330 |
+
"eval_groundtruth_f1_factual": 0.6736698728564816,
|
331 |
+
"eval_icace_cosine": 0.4668065309524536,
|
332 |
+
"eval_icace_l2": 0.6126391887664795,
|
333 |
+
"eval_icace_normdiff": 0.39072343707084656,
|
334 |
+
"eval_loss": 7.208556175231934,
|
335 |
+
"eval_runtime": 22.0856,
|
336 |
+
"eval_samples_per_second": 176.495,
|
337 |
+
"eval_steps_per_second": 2.762,
|
338 |
+
"step": 500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.89,
|
342 |
+
"learning_rate": 4.436741767764298e-05,
|
343 |
+
"loss": 8.0972,
|
344 |
+
"step": 520
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.93,
|
348 |
+
"learning_rate": 4.415077989601387e-05,
|
349 |
+
"loss": 7.9764,
|
350 |
+
"step": 540
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.94,
|
354 |
+
"eval_distillation_accuracy_counterfactual": 0.5413032324268856,
|
355 |
+
"eval_distillation_accuracy_factual": 0.8263211903540277,
|
356 |
+
"eval_distillation_f1_counterfactual": 0.4579261774469936,
|
357 |
+
"eval_distillation_f1_factual": 0.8169241589118235,
|
358 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5338635197537198,
|
359 |
+
"eval_groundtruth_f1_counterfactual": 0.45648415392539654,
|
360 |
+
"eval_groundtruth_f1_factual": 0.6666874640710526,
|
361 |
+
"eval_icace_cosine": 0.4673744738101959,
|
362 |
+
"eval_icace_l2": 0.6225017309188843,
|
363 |
+
"eval_icace_normdiff": 0.3859357535839081,
|
364 |
+
"eval_loss": 7.50295877456665,
|
365 |
+
"eval_runtime": 22.0967,
|
366 |
+
"eval_samples_per_second": 176.406,
|
367 |
+
"eval_steps_per_second": 2.761,
|
368 |
+
"step": 550
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.96,
|
372 |
+
"learning_rate": 4.393414211438475e-05,
|
373 |
+
"loss": 8.0277,
|
374 |
+
"step": 560
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.99,
|
378 |
+
"learning_rate": 4.371750433275563e-05,
|
379 |
+
"loss": 7.9231,
|
380 |
+
"step": 580
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.03,
|
384 |
+
"learning_rate": 4.3500866551126516e-05,
|
385 |
+
"loss": 8.1605,
|
386 |
+
"step": 600
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 1.03,
|
390 |
+
"eval_distillation_accuracy_counterfactual": 0.538737814263725,
|
391 |
+
"eval_distillation_accuracy_factual": 0.8424833247819394,
|
392 |
+
"eval_distillation_f1_counterfactual": 0.4424763530876773,
|
393 |
+
"eval_distillation_f1_factual": 0.8305147218419746,
|
394 |
+
"eval_groundtruth_accuracy_counterfactual": 0.530528476141611,
|
395 |
+
"eval_groundtruth_f1_counterfactual": 0.44459191212630245,
|
396 |
+
"eval_groundtruth_f1_factual": 0.675893177241911,
|
397 |
+
"eval_icace_cosine": 0.47036415338516235,
|
398 |
+
"eval_icace_l2": 0.6303676962852478,
|
399 |
+
"eval_icace_normdiff": 0.40152838826179504,
|
400 |
+
"eval_loss": 7.446086406707764,
|
401 |
+
"eval_runtime": 22.193,
|
402 |
+
"eval_samples_per_second": 175.641,
|
403 |
+
"eval_steps_per_second": 2.749,
|
404 |
+
"step": 600
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 1.06,
|
408 |
+
"learning_rate": 4.3284228769497406e-05,
|
409 |
+
"loss": 8.0369,
|
410 |
+
"step": 620
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.1,
|
414 |
+
"learning_rate": 4.306759098786828e-05,
|
415 |
+
"loss": 7.8522,
|
416 |
+
"step": 640
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 1.11,
|
420 |
+
"eval_distillation_accuracy_counterfactual": 0.5325808106721396,
|
421 |
+
"eval_distillation_accuracy_factual": 0.7945100051308364,
|
422 |
+
"eval_distillation_f1_counterfactual": 0.45243712925320734,
|
423 |
+
"eval_distillation_f1_factual": 0.7760743993737376,
|
424 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5248845561826577,
|
425 |
+
"eval_groundtruth_f1_counterfactual": 0.4539872598778271,
|
426 |
+
"eval_groundtruth_f1_factual": 0.6485178712630223,
|
427 |
+
"eval_icace_cosine": 0.4656234085559845,
|
428 |
+
"eval_icace_l2": 0.6243467330932617,
|
429 |
+
"eval_icace_normdiff": 0.38494807481765747,
|
430 |
+
"eval_loss": 7.678111553192139,
|
431 |
+
"eval_runtime": 22.2461,
|
432 |
+
"eval_samples_per_second": 175.222,
|
433 |
+
"eval_steps_per_second": 2.742,
|
434 |
+
"step": 650
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 1.13,
|
438 |
+
"learning_rate": 4.285095320623917e-05,
|
439 |
+
"loss": 7.7876,
|
440 |
+
"step": 660
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 1.17,
|
444 |
+
"learning_rate": 4.2634315424610055e-05,
|
445 |
+
"loss": 7.8585,
|
446 |
+
"step": 680
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 1.2,
|
450 |
+
"learning_rate": 4.241767764298094e-05,
|
451 |
+
"loss": 7.9963,
|
452 |
+
"step": 700
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 1.2,
|
456 |
+
"eval_distillation_accuracy_counterfactual": 0.5220625962031811,
|
457 |
+
"eval_distillation_accuracy_factual": 0.8532580810672139,
|
458 |
+
"eval_distillation_f1_counterfactual": 0.421394437601727,
|
459 |
+
"eval_distillation_f1_factual": 0.843810107668179,
|
460 |
+
"eval_groundtruth_accuracy_counterfactual": 0.513083632632119,
|
461 |
+
"eval_groundtruth_f1_counterfactual": 0.41873912487772846,
|
462 |
+
"eval_groundtruth_f1_factual": 0.6890304825574103,
|
463 |
+
"eval_icace_cosine": 0.47455719113349915,
|
464 |
+
"eval_icace_l2": 0.6358718276023865,
|
465 |
+
"eval_icace_normdiff": 0.3861025869846344,
|
466 |
+
"eval_loss": 7.682065010070801,
|
467 |
+
"eval_runtime": 22.4604,
|
468 |
+
"eval_samples_per_second": 173.55,
|
469 |
+
"eval_steps_per_second": 2.716,
|
470 |
+
"step": 700
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 1.23,
|
474 |
+
"learning_rate": 4.220103986135182e-05,
|
475 |
+
"loss": 7.9938,
|
476 |
+
"step": 720
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 1.27,
|
480 |
+
"learning_rate": 4.198440207972271e-05,
|
481 |
+
"loss": 7.7139,
|
482 |
+
"step": 740
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 1.29,
|
486 |
+
"eval_distillation_accuracy_counterfactual": 0.5405336069779374,
|
487 |
+
"eval_distillation_accuracy_factual": 0.8509492047203694,
|
488 |
+
"eval_distillation_f1_counterfactual": 0.47182248378312613,
|
489 |
+
"eval_distillation_f1_factual": 0.8355752615379481,
|
490 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5269368907131863,
|
491 |
+
"eval_groundtruth_f1_counterfactual": 0.4620646268597837,
|
492 |
+
"eval_groundtruth_f1_factual": 0.6925217992694058,
|
493 |
+
"eval_icace_cosine": 0.45927247405052185,
|
494 |
+
"eval_icace_l2": 0.6215088367462158,
|
495 |
+
"eval_icace_normdiff": 0.39000242948532104,
|
496 |
+
"eval_loss": 7.237956523895264,
|
497 |
+
"eval_runtime": 22.1166,
|
498 |
+
"eval_samples_per_second": 176.248,
|
499 |
+
"eval_steps_per_second": 2.758,
|
500 |
+
"step": 750
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.3,
|
504 |
+
"learning_rate": 4.1767764298093586e-05,
|
505 |
+
"loss": 7.8577,
|
506 |
+
"step": 760
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.34,
|
510 |
+
"learning_rate": 4.1551126516464476e-05,
|
511 |
+
"loss": 7.8288,
|
512 |
+
"step": 780
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 1.37,
|
516 |
+
"learning_rate": 4.133448873483536e-05,
|
517 |
+
"loss": 7.6519,
|
518 |
+
"step": 800
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 1.37,
|
522 |
+
"eval_distillation_accuracy_counterfactual": 0.5279630579784504,
|
523 |
+
"eval_distillation_accuracy_factual": 0.805797845048743,
|
524 |
+
"eval_distillation_f1_counterfactual": 0.44398440406113127,
|
525 |
+
"eval_distillation_f1_factual": 0.7889017139693454,
|
526 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5207798871216008,
|
527 |
+
"eval_groundtruth_f1_counterfactual": 0.4413428310825916,
|
528 |
+
"eval_groundtruth_f1_factual": 0.6594914555824491,
|
529 |
+
"eval_icace_cosine": 0.47146424651145935,
|
530 |
+
"eval_icace_l2": 0.6373152732849121,
|
531 |
+
"eval_icace_normdiff": 0.40072518587112427,
|
532 |
+
"eval_loss": 7.812716960906982,
|
533 |
+
"eval_runtime": 22.1689,
|
534 |
+
"eval_samples_per_second": 175.832,
|
535 |
+
"eval_steps_per_second": 2.752,
|
536 |
+
"step": 800
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.41,
|
540 |
+
"learning_rate": 4.111785095320624e-05,
|
541 |
+
"loss": 7.8938,
|
542 |
+
"step": 820
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.44,
|
546 |
+
"learning_rate": 4.0901213171577124e-05,
|
547 |
+
"loss": 7.7746,
|
548 |
+
"step": 840
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.46,
|
552 |
+
"eval_distillation_accuracy_counterfactual": 0.5243714725500257,
|
553 |
+
"eval_distillation_accuracy_factual": 0.836326321190354,
|
554 |
+
"eval_distillation_f1_counterfactual": 0.4465427270486524,
|
555 |
+
"eval_distillation_f1_factual": 0.82730940599887,
|
556 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5179579271421242,
|
557 |
+
"eval_groundtruth_f1_counterfactual": 0.4470807155891924,
|
558 |
+
"eval_groundtruth_f1_factual": 0.6724916960045889,
|
559 |
+
"eval_icace_cosine": 0.4680478870868683,
|
560 |
+
"eval_icace_l2": 0.6270192861557007,
|
561 |
+
"eval_icace_normdiff": 0.3876318037509918,
|
562 |
+
"eval_loss": 7.512824535369873,
|
563 |
+
"eval_runtime": 22.2529,
|
564 |
+
"eval_samples_per_second": 175.168,
|
565 |
+
"eval_steps_per_second": 2.741,
|
566 |
+
"step": 850
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 1.48,
|
570 |
+
"learning_rate": 4.068457538994801e-05,
|
571 |
+
"loss": 7.6544,
|
572 |
+
"step": 860
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 1.51,
|
576 |
+
"learning_rate": 4.04679376083189e-05,
|
577 |
+
"loss": 7.7708,
|
578 |
+
"step": 880
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 1.54,
|
582 |
+
"learning_rate": 4.025129982668977e-05,
|
583 |
+
"loss": 7.6759,
|
584 |
+
"step": 900
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.54,
|
588 |
+
"eval_distillation_accuracy_counterfactual": 0.5194971780400205,
|
589 |
+
"eval_distillation_accuracy_factual": 0.814520266803489,
|
590 |
+
"eval_distillation_f1_counterfactual": 0.45570094642434356,
|
591 |
+
"eval_distillation_f1_factual": 0.805867060477024,
|
592 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5007696254489482,
|
593 |
+
"eval_groundtruth_f1_counterfactual": 0.43858879322504424,
|
594 |
+
"eval_groundtruth_f1_factual": 0.657928782779729,
|
595 |
+
"eval_icace_cosine": 0.4692392945289612,
|
596 |
+
"eval_icace_l2": 0.6410536766052246,
|
597 |
+
"eval_icace_normdiff": 0.4014453887939453,
|
598 |
+
"eval_loss": 7.68869161605835,
|
599 |
+
"eval_runtime": 22.1915,
|
600 |
+
"eval_samples_per_second": 175.653,
|
601 |
+
"eval_steps_per_second": 2.749,
|
602 |
+
"step": 900
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 1.58,
|
606 |
+
"learning_rate": 4.003466204506066e-05,
|
607 |
+
"loss": 7.8545,
|
608 |
+
"step": 920
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 1.61,
|
612 |
+
"learning_rate": 3.9818024263431546e-05,
|
613 |
+
"loss": 7.5503,
|
614 |
+
"step": 940
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 1.63,
|
618 |
+
"eval_distillation_accuracy_counterfactual": 0.5402770651616213,
|
619 |
+
"eval_distillation_accuracy_factual": 0.8211903540277066,
|
620 |
+
"eval_distillation_f1_counterfactual": 0.453286607279591,
|
621 |
+
"eval_distillation_f1_factual": 0.8132738069526344,
|
622 |
+
"eval_groundtruth_accuracy_counterfactual": 0.530528476141611,
|
623 |
+
"eval_groundtruth_f1_counterfactual": 0.4485755018961964,
|
624 |
+
"eval_groundtruth_f1_factual": 0.6565776752764576,
|
625 |
+
"eval_icace_cosine": 0.4694054126739502,
|
626 |
+
"eval_icace_l2": 0.625873863697052,
|
627 |
+
"eval_icace_normdiff": 0.39317741990089417,
|
628 |
+
"eval_loss": 7.5347418785095215,
|
629 |
+
"eval_runtime": 22.1059,
|
630 |
+
"eval_samples_per_second": 176.333,
|
631 |
+
"eval_steps_per_second": 2.759,
|
632 |
+
"step": 950
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.65,
|
636 |
+
"learning_rate": 3.960138648180243e-05,
|
637 |
+
"loss": 7.7698,
|
638 |
+
"step": 960
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 1.68,
|
642 |
+
"learning_rate": 3.938474870017331e-05,
|
643 |
+
"loss": 7.7985,
|
644 |
+
"step": 980
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 1.72,
|
648 |
+
"learning_rate": 3.91681109185442e-05,
|
649 |
+
"loss": 7.686,
|
650 |
+
"step": 1000
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 1.72,
|
654 |
+
"eval_distillation_accuracy_counterfactual": 0.5420728578758338,
|
655 |
+
"eval_distillation_accuracy_factual": 0.8396613648024628,
|
656 |
+
"eval_distillation_f1_counterfactual": 0.456055619550645,
|
657 |
+
"eval_distillation_f1_factual": 0.827631226039748,
|
658 |
+
"eval_groundtruth_accuracy_counterfactual": 0.5292457670600308,
|
659 |
+
"eval_groundtruth_f1_counterfactual": 0.45013798447650544,
|
660 |
+
"eval_groundtruth_f1_factual": 0.6763146243844917,
|
661 |
+
"eval_icace_cosine": 0.45797210931777954,
|
662 |
+
"eval_icace_l2": 0.611527144908905,
|
663 |
+
"eval_icace_normdiff": 0.37649333477020264,
|
664 |
+
"eval_loss": 7.2710371017456055,
|
665 |
+
"eval_runtime": 22.2409,
|
666 |
+
"eval_samples_per_second": 175.262,
|
667 |
+
"eval_steps_per_second": 2.743,
|
668 |
+
"step": 1000
|
669 |
+
}
|
670 |
+
],
|
671 |
+
"max_steps": 4616,
|
672 |
+
"num_train_epochs": 8,
|
673 |
+
"total_flos": 8474526459302400.0,
|
674 |
+
"trial_name": null,
|
675 |
+
"trial_params": null
|
676 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d0ba90754c31fbbdd65794ee39c1c11a5cee019a6d04af812f5552c2adfb5c3f
|
3 |
+
size 3183
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|