jatinarora2702 commited on
Commit
d5cbbc6
·
1 Parent(s): 6a111a5

first model version

Browse files
config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-uncased",
3
+ "architectures": [
4
+ "NerSpanModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "gradient_checkpointing": false,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "LABEL_0",
13
+ "1": "LABEL_1",
14
+ "2": "LABEL_2",
15
+ "3": "LABEL_3",
16
+ "4": "LABEL_4",
17
+ "5": "LABEL_5"
18
+ },
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 3072,
21
+ "label2id": {
22
+ "LABEL_0": 0,
23
+ "LABEL_1": 1,
24
+ "LABEL_2": 2,
25
+ "LABEL_3": 3,
26
+ "LABEL_4": 4,
27
+ "LABEL_5": 5
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
+ "transformers_version": "4.2.2",
37
+ "type_vocab_size": 2,
38
+ "use_cache": true,
39
+ "vocab_size": 30522
40
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af15c9fab49a9c602218bdc17305d3737754c4342cfdc4fd826c20bd7d461361
3
+ size 876020945
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b845fabdfff9eee57755d4821803dbf5602e16267f7c6257cb876893bb61bd7
3
+ size 438036745
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4932a9947740ed4d343457356f79656c2844d6e4909f06fb3b6546430401f2a6
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]"}
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, "name_or_path": "bert-base-uncased"}
trainer_state.json ADDED
@@ -0,0 +1,2452 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8205741621784443,
3
+ "best_model_checkpoint": "/shared/data/jatin2/sec-ner/multirun/wnut/class/run-42/checkpoints/checkpoint-3000",
4
+ "epoch": 187.5,
5
+ "global_step": 3000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.62,
12
+ "eval_loss": 1.6759881973266602,
13
+ "eval_micro_f1": 0.08851674591137737,
14
+ "eval_runtime": 1.3359,
15
+ "eval_samples_per_second": 625.794,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 1.25,
20
+ "eval_loss": 1.5462044477462769,
21
+ "eval_micro_f1": 0.6052631573940128,
22
+ "eval_runtime": 1.2101,
23
+ "eval_samples_per_second": 690.875,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 1.88,
28
+ "eval_loss": 1.3322491645812988,
29
+ "eval_micro_f1": 0.6244019133748512,
30
+ "eval_runtime": 0.8599,
31
+ "eval_samples_per_second": 972.239,
32
+ "step": 30
33
+ },
34
+ {
35
+ "epoch": 2.5,
36
+ "eval_loss": 1.1252518892288208,
37
+ "eval_micro_f1": 0.644736841604492,
38
+ "eval_runtime": 1.1837,
39
+ "eval_samples_per_second": 706.251,
40
+ "step": 40
41
+ },
42
+ {
43
+ "epoch": 3.12,
44
+ "eval_loss": 1.0135610103607178,
45
+ "eval_micro_f1": 0.6387559803604799,
46
+ "eval_runtime": 1.2916,
47
+ "eval_samples_per_second": 647.281,
48
+ "step": 50
49
+ },
50
+ {
51
+ "epoch": 3.75,
52
+ "eval_loss": 0.9341530203819275,
53
+ "eval_micro_f1": 0.6411483248580847,
54
+ "eval_runtime": 1.1548,
55
+ "eval_samples_per_second": 723.953,
56
+ "step": 60
57
+ },
58
+ {
59
+ "epoch": 4.38,
60
+ "eval_loss": 0.8877728581428528,
61
+ "eval_micro_f1": 0.644736841604492,
62
+ "eval_runtime": 1.2673,
63
+ "eval_samples_per_second": 659.646,
64
+ "step": 70
65
+ },
66
+ {
67
+ "epoch": 5.0,
68
+ "eval_loss": 0.8828455209732056,
69
+ "eval_micro_f1": 0.6459330138532943,
70
+ "eval_runtime": 0.8582,
71
+ "eval_samples_per_second": 974.142,
72
+ "step": 80
73
+ },
74
+ {
75
+ "epoch": 5.62,
76
+ "eval_loss": 0.887384295463562,
77
+ "eval_micro_f1": 0.6794258368197614,
78
+ "eval_runtime": 1.2161,
79
+ "eval_samples_per_second": 687.446,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 6.25,
84
+ "eval_loss": 0.7980366945266724,
85
+ "eval_micro_f1": 0.7368421047622765,
86
+ "eval_runtime": 1.168,
87
+ "eval_samples_per_second": 715.781,
88
+ "step": 100
89
+ },
90
+ {
91
+ "epoch": 6.88,
92
+ "eval_loss": 0.7685986161231995,
93
+ "eval_micro_f1": 0.759569377489522,
94
+ "eval_runtime": 1.2908,
95
+ "eval_samples_per_second": 647.674,
96
+ "step": 110
97
+ },
98
+ {
99
+ "epoch": 7.5,
100
+ "eval_loss": 0.7412388324737549,
101
+ "eval_micro_f1": 0.7811004779679651,
102
+ "eval_runtime": 0.865,
103
+ "eval_samples_per_second": 966.496,
104
+ "step": 120
105
+ },
106
+ {
107
+ "epoch": 8.12,
108
+ "eval_loss": 0.736153781414032,
109
+ "eval_micro_f1": 0.777511961221558,
110
+ "eval_runtime": 0.8746,
111
+ "eval_samples_per_second": 955.819,
112
+ "step": 130
113
+ },
114
+ {
115
+ "epoch": 8.75,
116
+ "eval_loss": 0.741908848285675,
117
+ "eval_micro_f1": 0.7787081334703604,
118
+ "eval_runtime": 1.2436,
119
+ "eval_samples_per_second": 672.264,
120
+ "step": 140
121
+ },
122
+ {
123
+ "epoch": 9.38,
124
+ "eval_loss": 0.7110205888748169,
125
+ "eval_micro_f1": 0.7942583727047915,
126
+ "eval_runtime": 4.1459,
127
+ "eval_samples_per_second": 201.643,
128
+ "step": 150
129
+ },
130
+ {
131
+ "epoch": 10.0,
132
+ "eval_loss": 0.743588387966156,
133
+ "eval_micro_f1": 0.7703349277287436,
134
+ "eval_runtime": 1.2283,
135
+ "eval_samples_per_second": 680.592,
136
+ "step": 160
137
+ },
138
+ {
139
+ "epoch": 10.62,
140
+ "eval_loss": 0.6968352198600769,
141
+ "eval_micro_f1": 0.8038277506952107,
142
+ "eval_runtime": 1.1871,
143
+ "eval_samples_per_second": 704.248,
144
+ "step": 170
145
+ },
146
+ {
147
+ "epoch": 11.25,
148
+ "eval_loss": 0.7096373438835144,
149
+ "eval_micro_f1": 0.8074162674416179,
150
+ "eval_runtime": 0.8786,
151
+ "eval_samples_per_second": 951.476,
152
+ "step": 180
153
+ },
154
+ {
155
+ "epoch": 11.88,
156
+ "eval_loss": 0.7048764228820801,
157
+ "eval_micro_f1": 0.7942583727047915,
158
+ "eval_runtime": 1.3421,
159
+ "eval_samples_per_second": 622.892,
160
+ "step": 190
161
+ },
162
+ {
163
+ "epoch": 12.5,
164
+ "eval_loss": 0.7515257596969604,
165
+ "eval_micro_f1": 0.7942583727047915,
166
+ "eval_runtime": 1.2546,
167
+ "eval_samples_per_second": 666.338,
168
+ "step": 200
169
+ },
170
+ {
171
+ "epoch": 13.12,
172
+ "eval_loss": 0.7905582785606384,
173
+ "eval_micro_f1": 0.7739234444751508,
174
+ "eval_runtime": 1.2206,
175
+ "eval_samples_per_second": 684.892,
176
+ "step": 210
177
+ },
178
+ {
179
+ "epoch": 13.75,
180
+ "eval_loss": 0.7019672393798828,
181
+ "eval_micro_f1": 0.8145933009344323,
182
+ "eval_runtime": 1.1469,
183
+ "eval_samples_per_second": 728.9,
184
+ "step": 220
185
+ },
186
+ {
187
+ "epoch": 14.38,
188
+ "eval_loss": 0.743220865726471,
189
+ "eval_micro_f1": 0.8026315784464082,
190
+ "eval_runtime": 0.8806,
191
+ "eval_samples_per_second": 949.347,
192
+ "step": 230
193
+ },
194
+ {
195
+ "epoch": 15.0,
196
+ "eval_loss": 0.7914738059043884,
197
+ "eval_micro_f1": 0.7870813392119771,
198
+ "eval_runtime": 1.246,
199
+ "eval_samples_per_second": 670.957,
200
+ "step": 240
201
+ },
202
+ {
203
+ "epoch": 15.62,
204
+ "eval_loss": 0.8315173983573914,
205
+ "eval_micro_f1": 0.7799043057191627,
206
+ "eval_runtime": 1.621,
207
+ "eval_samples_per_second": 515.725,
208
+ "step": 250
209
+ },
210
+ {
211
+ "epoch": 16.25,
212
+ "eval_loss": 0.8176524043083191,
213
+ "eval_micro_f1": 0.7846889947143724,
214
+ "eval_runtime": 1.2095,
215
+ "eval_samples_per_second": 691.193,
216
+ "step": 260
217
+ },
218
+ {
219
+ "epoch": 16.88,
220
+ "eval_loss": 0.9075602889060974,
221
+ "eval_micro_f1": 0.771531099977546,
222
+ "eval_runtime": 1.2256,
223
+ "eval_samples_per_second": 682.12,
224
+ "step": 270
225
+ },
226
+ {
227
+ "epoch": 17.5,
228
+ "eval_loss": 0.8281694650650024,
229
+ "eval_micro_f1": 0.7954545449535938,
230
+ "eval_runtime": 0.8715,
231
+ "eval_samples_per_second": 959.275,
232
+ "step": 280
233
+ },
234
+ {
235
+ "epoch": 18.12,
236
+ "eval_loss": 0.8547766208648682,
237
+ "eval_micro_f1": 0.7918660282071867,
238
+ "eval_runtime": 1.2407,
239
+ "eval_samples_per_second": 673.819,
240
+ "step": 290
241
+ },
242
+ {
243
+ "epoch": 18.75,
244
+ "eval_loss": 0.8972189426422119,
245
+ "eval_micro_f1": 0.7822966502167676,
246
+ "eval_runtime": 1.208,
247
+ "eval_samples_per_second": 692.055,
248
+ "step": 300
249
+ },
250
+ {
251
+ "epoch": 19.38,
252
+ "eval_loss": 0.9401060938835144,
253
+ "eval_micro_f1": 0.7787081334703604,
254
+ "eval_runtime": 1.1982,
255
+ "eval_samples_per_second": 697.732,
256
+ "step": 310
257
+ },
258
+ {
259
+ "epoch": 20.0,
260
+ "eval_loss": 0.9120603799819946,
261
+ "eval_micro_f1": 0.7882775114607795,
262
+ "eval_runtime": 1.2047,
263
+ "eval_samples_per_second": 693.932,
264
+ "step": 320
265
+ },
266
+ {
267
+ "epoch": 20.62,
268
+ "eval_loss": 0.920120358467102,
269
+ "eval_micro_f1": 0.7858851669631748,
270
+ "eval_runtime": 0.8725,
271
+ "eval_samples_per_second": 958.217,
272
+ "step": 330
273
+ },
274
+ {
275
+ "epoch": 21.25,
276
+ "eval_loss": 0.9525130987167358,
277
+ "eval_micro_f1": 0.771531099977546,
278
+ "eval_runtime": 1.1953,
279
+ "eval_samples_per_second": 699.415,
280
+ "step": 340
281
+ },
282
+ {
283
+ "epoch": 21.88,
284
+ "eval_loss": 0.9583889245986938,
285
+ "eval_micro_f1": 0.7858851669631748,
286
+ "eval_runtime": 1.2359,
287
+ "eval_samples_per_second": 676.414,
288
+ "step": 350
289
+ },
290
+ {
291
+ "epoch": 22.5,
292
+ "eval_loss": 1.0320873260498047,
293
+ "eval_micro_f1": 0.7739234444751508,
294
+ "eval_runtime": 1.1982,
295
+ "eval_samples_per_second": 697.705,
296
+ "step": 360
297
+ },
298
+ {
299
+ "epoch": 23.12,
300
+ "eval_loss": 0.9924129247665405,
301
+ "eval_micro_f1": 0.7751196167239531,
302
+ "eval_runtime": 1.2948,
303
+ "eval_samples_per_second": 645.665,
304
+ "step": 370
305
+ },
306
+ {
307
+ "epoch": 23.75,
308
+ "eval_loss": 0.919312059879303,
309
+ "eval_micro_f1": 0.8002392339488035,
310
+ "eval_runtime": 1.2586,
311
+ "eval_samples_per_second": 664.256,
312
+ "step": 380
313
+ },
314
+ {
315
+ "epoch": 24.38,
316
+ "eval_loss": 1.0358171463012695,
317
+ "eval_micro_f1": 0.7751196167239531,
318
+ "eval_runtime": 1.2561,
319
+ "eval_samples_per_second": 665.549,
320
+ "step": 390
321
+ },
322
+ {
323
+ "epoch": 25.0,
324
+ "eval_loss": 1.0559030771255493,
325
+ "eval_micro_f1": 0.7787081334703604,
326
+ "eval_runtime": 1.2969,
327
+ "eval_samples_per_second": 644.633,
328
+ "step": 400
329
+ },
330
+ {
331
+ "epoch": 25.62,
332
+ "eval_loss": 0.9812420606613159,
333
+ "eval_micro_f1": 0.7870813392119771,
334
+ "eval_runtime": 1.2399,
335
+ "eval_samples_per_second": 674.266,
336
+ "step": 410
337
+ },
338
+ {
339
+ "epoch": 26.25,
340
+ "eval_loss": 1.0270429849624634,
341
+ "eval_micro_f1": 0.7799043057191627,
342
+ "eval_runtime": 1.332,
343
+ "eval_samples_per_second": 627.648,
344
+ "step": 420
345
+ },
346
+ {
347
+ "epoch": 26.88,
348
+ "eval_loss": 1.044345736503601,
349
+ "eval_micro_f1": 0.7894736837095819,
350
+ "eval_runtime": 1.2183,
351
+ "eval_samples_per_second": 686.179,
352
+ "step": 430
353
+ },
354
+ {
355
+ "epoch": 27.5,
356
+ "eval_loss": 1.0406349897384644,
357
+ "eval_micro_f1": 0.7846889947143724,
358
+ "eval_runtime": 0.8726,
359
+ "eval_samples_per_second": 958.035,
360
+ "step": 440
361
+ },
362
+ {
363
+ "epoch": 28.12,
364
+ "eval_loss": 0.9970749616622925,
365
+ "eval_micro_f1": 0.7978468894511987,
366
+ "eval_runtime": 1.1767,
367
+ "eval_samples_per_second": 710.432,
368
+ "step": 450
369
+ },
370
+ {
371
+ "epoch": 28.75,
372
+ "eval_loss": 1.0192404985427856,
373
+ "eval_micro_f1": 0.801435406197606,
374
+ "eval_runtime": 1.1984,
375
+ "eval_samples_per_second": 697.599,
376
+ "step": 460
377
+ },
378
+ {
379
+ "epoch": 29.38,
380
+ "eval_loss": 1.1054484844207764,
381
+ "eval_micro_f1": 0.78349282246557,
382
+ "eval_runtime": 1.3117,
383
+ "eval_samples_per_second": 637.324,
384
+ "step": 470
385
+ },
386
+ {
387
+ "epoch": 30.0,
388
+ "eval_loss": 1.1029002666473389,
389
+ "eval_micro_f1": 0.7882775114607795,
390
+ "eval_runtime": 1.2415,
391
+ "eval_samples_per_second": 673.362,
392
+ "step": 480
393
+ },
394
+ {
395
+ "epoch": 30.62,
396
+ "eval_loss": 1.041625738143921,
397
+ "eval_micro_f1": 0.7978468894511987,
398
+ "eval_runtime": 1.0809,
399
+ "eval_samples_per_second": 773.41,
400
+ "step": 490
401
+ },
402
+ {
403
+ "epoch": 31.25,
404
+ "learning_rate": 8.958333333333334e-06,
405
+ "loss": 0.3178,
406
+ "step": 500
407
+ },
408
+ {
409
+ "epoch": 31.25,
410
+ "eval_loss": 1.0797942876815796,
411
+ "eval_micro_f1": 0.7870813392119771,
412
+ "eval_runtime": 1.252,
413
+ "eval_samples_per_second": 667.722,
414
+ "step": 500
415
+ },
416
+ {
417
+ "epoch": 31.88,
418
+ "eval_loss": 1.1399964094161987,
419
+ "eval_micro_f1": 0.7846889947143724,
420
+ "eval_runtime": 1.1939,
421
+ "eval_samples_per_second": 700.251,
422
+ "step": 510
423
+ },
424
+ {
425
+ "epoch": 32.5,
426
+ "eval_loss": 1.1625529527664185,
427
+ "eval_micro_f1": 0.7739234444751508,
428
+ "eval_runtime": 1.2201,
429
+ "eval_samples_per_second": 685.212,
430
+ "step": 520
431
+ },
432
+ {
433
+ "epoch": 33.12,
434
+ "eval_loss": 1.104368805885315,
435
+ "eval_micro_f1": 0.7882775114607795,
436
+ "eval_runtime": 1.2001,
437
+ "eval_samples_per_second": 696.612,
438
+ "step": 530
439
+ },
440
+ {
441
+ "epoch": 33.75,
442
+ "eval_loss": 1.077760100364685,
443
+ "eval_micro_f1": 0.7882775114607795,
444
+ "eval_runtime": 0.8761,
445
+ "eval_samples_per_second": 954.202,
446
+ "step": 540
447
+ },
448
+ {
449
+ "epoch": 34.38,
450
+ "eval_loss": 1.1734049320220947,
451
+ "eval_micro_f1": 0.7822966502167676,
452
+ "eval_runtime": 1.2138,
453
+ "eval_samples_per_second": 688.726,
454
+ "step": 550
455
+ },
456
+ {
457
+ "epoch": 35.0,
458
+ "eval_loss": 1.1793453693389893,
459
+ "eval_micro_f1": 0.78349282246557,
460
+ "eval_runtime": 1.5359,
461
+ "eval_samples_per_second": 544.292,
462
+ "step": 560
463
+ },
464
+ {
465
+ "epoch": 35.62,
466
+ "eval_loss": 1.1454592943191528,
467
+ "eval_micro_f1": 0.7882775114607795,
468
+ "eval_runtime": 1.2532,
469
+ "eval_samples_per_second": 667.093,
470
+ "step": 570
471
+ },
472
+ {
473
+ "epoch": 36.25,
474
+ "eval_loss": 1.1729267835617065,
475
+ "eval_micro_f1": 0.7882775114607795,
476
+ "eval_runtime": 1.2523,
477
+ "eval_samples_per_second": 667.549,
478
+ "step": 580
479
+ },
480
+ {
481
+ "epoch": 36.88,
482
+ "eval_loss": 1.1719892024993896,
483
+ "eval_micro_f1": 0.7906698559583843,
484
+ "eval_runtime": 3.7258,
485
+ "eval_samples_per_second": 224.381,
486
+ "step": 590
487
+ },
488
+ {
489
+ "epoch": 37.5,
490
+ "eval_loss": 1.1657602787017822,
491
+ "eval_micro_f1": 0.7930622004559891,
492
+ "eval_runtime": 1.2367,
493
+ "eval_samples_per_second": 675.991,
494
+ "step": 600
495
+ },
496
+ {
497
+ "epoch": 38.12,
498
+ "eval_loss": 1.1762133836746216,
499
+ "eval_micro_f1": 0.7858851669631748,
500
+ "eval_runtime": 1.223,
501
+ "eval_samples_per_second": 683.542,
502
+ "step": 610
503
+ },
504
+ {
505
+ "epoch": 38.75,
506
+ "eval_loss": 1.1761835813522339,
507
+ "eval_micro_f1": 0.7870813392119771,
508
+ "eval_runtime": 1.214,
509
+ "eval_samples_per_second": 688.657,
510
+ "step": 620
511
+ },
512
+ {
513
+ "epoch": 39.38,
514
+ "eval_loss": 1.1437163352966309,
515
+ "eval_micro_f1": 0.7966507172023963,
516
+ "eval_runtime": 1.2096,
517
+ "eval_samples_per_second": 691.162,
518
+ "step": 630
519
+ },
520
+ {
521
+ "epoch": 40.0,
522
+ "eval_loss": 1.1287521123886108,
523
+ "eval_micro_f1": 0.8026315784464082,
524
+ "eval_runtime": 0.8722,
525
+ "eval_samples_per_second": 958.491,
526
+ "step": 640
527
+ },
528
+ {
529
+ "epoch": 40.62,
530
+ "eval_loss": 1.1567052602767944,
531
+ "eval_micro_f1": 0.7906698559583843,
532
+ "eval_runtime": 1.1829,
533
+ "eval_samples_per_second": 706.74,
534
+ "step": 650
535
+ },
536
+ {
537
+ "epoch": 41.25,
538
+ "eval_loss": 1.1617976427078247,
539
+ "eval_micro_f1": 0.7918660282071867,
540
+ "eval_runtime": 1.6636,
541
+ "eval_samples_per_second": 502.511,
542
+ "step": 660
543
+ },
544
+ {
545
+ "epoch": 41.88,
546
+ "eval_loss": 1.1672464609146118,
547
+ "eval_micro_f1": 0.7906698559583843,
548
+ "eval_runtime": 1.2985,
549
+ "eval_samples_per_second": 643.836,
550
+ "step": 670
551
+ },
552
+ {
553
+ "epoch": 42.5,
554
+ "eval_loss": 1.1712684631347656,
555
+ "eval_micro_f1": 0.7942583727047915,
556
+ "eval_runtime": 1.1903,
557
+ "eval_samples_per_second": 702.367,
558
+ "step": 680
559
+ },
560
+ {
561
+ "epoch": 43.12,
562
+ "eval_loss": 1.1998251676559448,
563
+ "eval_micro_f1": 0.7930622004559891,
564
+ "eval_runtime": 0.8749,
565
+ "eval_samples_per_second": 955.576,
566
+ "step": 690
567
+ },
568
+ {
569
+ "epoch": 43.75,
570
+ "eval_loss": 1.1978861093521118,
571
+ "eval_micro_f1": 0.7918660282071867,
572
+ "eval_runtime": 1.209,
573
+ "eval_samples_per_second": 691.482,
574
+ "step": 700
575
+ },
576
+ {
577
+ "epoch": 44.38,
578
+ "eval_loss": 1.2747777700424194,
579
+ "eval_micro_f1": 0.777511961221558,
580
+ "eval_runtime": 1.2446,
581
+ "eval_samples_per_second": 671.714,
582
+ "step": 710
583
+ },
584
+ {
585
+ "epoch": 45.0,
586
+ "eval_loss": 1.265109896659851,
587
+ "eval_micro_f1": 0.7727272722263484,
588
+ "eval_runtime": 1.3112,
589
+ "eval_samples_per_second": 637.588,
590
+ "step": 720
591
+ },
592
+ {
593
+ "epoch": 45.62,
594
+ "eval_loss": 1.2195650339126587,
595
+ "eval_micro_f1": 0.78349282246557,
596
+ "eval_runtime": 1.2682,
597
+ "eval_samples_per_second": 659.204,
598
+ "step": 730
599
+ },
600
+ {
601
+ "epoch": 46.25,
602
+ "eval_loss": 1.2457984685897827,
603
+ "eval_micro_f1": 0.7822966502167676,
604
+ "eval_runtime": 0.8903,
605
+ "eval_samples_per_second": 939.024,
606
+ "step": 740
607
+ },
608
+ {
609
+ "epoch": 46.88,
610
+ "eval_loss": 1.1744990348815918,
611
+ "eval_micro_f1": 0.7930622004559891,
612
+ "eval_runtime": 1.3358,
613
+ "eval_samples_per_second": 625.839,
614
+ "step": 750
615
+ },
616
+ {
617
+ "epoch": 47.5,
618
+ "eval_loss": 1.203239917755127,
619
+ "eval_micro_f1": 0.7918660282071867,
620
+ "eval_runtime": 1.6763,
621
+ "eval_samples_per_second": 498.716,
622
+ "step": 760
623
+ },
624
+ {
625
+ "epoch": 48.12,
626
+ "eval_loss": 1.2865585088729858,
627
+ "eval_micro_f1": 0.78349282246557,
628
+ "eval_runtime": 1.2521,
629
+ "eval_samples_per_second": 667.703,
630
+ "step": 770
631
+ },
632
+ {
633
+ "epoch": 48.75,
634
+ "eval_loss": 1.279433012008667,
635
+ "eval_micro_f1": 0.7882775114607795,
636
+ "eval_runtime": 1.2416,
637
+ "eval_samples_per_second": 673.34,
638
+ "step": 780
639
+ },
640
+ {
641
+ "epoch": 49.38,
642
+ "eval_loss": 1.1663239002227783,
643
+ "eval_micro_f1": 0.801435406197606,
644
+ "eval_runtime": 0.8824,
645
+ "eval_samples_per_second": 947.447,
646
+ "step": 790
647
+ },
648
+ {
649
+ "epoch": 50.0,
650
+ "eval_loss": 1.2201182842254639,
651
+ "eval_micro_f1": 0.7858851669631748,
652
+ "eval_runtime": 1.209,
653
+ "eval_samples_per_second": 691.487,
654
+ "step": 800
655
+ },
656
+ {
657
+ "epoch": 50.62,
658
+ "eval_loss": 1.2731646299362183,
659
+ "eval_micro_f1": 0.7799043057191627,
660
+ "eval_runtime": 1.1798,
661
+ "eval_samples_per_second": 708.603,
662
+ "step": 810
663
+ },
664
+ {
665
+ "epoch": 51.25,
666
+ "eval_loss": 1.281266689300537,
667
+ "eval_micro_f1": 0.7870813392119771,
668
+ "eval_runtime": 1.2611,
669
+ "eval_samples_per_second": 662.933,
670
+ "step": 820
671
+ },
672
+ {
673
+ "epoch": 51.88,
674
+ "eval_loss": 1.2305707931518555,
675
+ "eval_micro_f1": 0.7990430617000013,
676
+ "eval_runtime": 1.2303,
677
+ "eval_samples_per_second": 679.521,
678
+ "step": 830
679
+ },
680
+ {
681
+ "epoch": 52.5,
682
+ "eval_loss": 1.2005953788757324,
683
+ "eval_micro_f1": 0.8038277506952107,
684
+ "eval_runtime": 0.8744,
685
+ "eval_samples_per_second": 956.054,
686
+ "step": 840
687
+ },
688
+ {
689
+ "epoch": 53.12,
690
+ "eval_loss": 1.1868442296981812,
691
+ "eval_micro_f1": 0.8086124396904203,
692
+ "eval_runtime": 1.2462,
693
+ "eval_samples_per_second": 670.838,
694
+ "step": 850
695
+ },
696
+ {
697
+ "epoch": 53.75,
698
+ "eval_loss": 1.1953299045562744,
699
+ "eval_micro_f1": 0.8122009564368274,
700
+ "eval_runtime": 1.2115,
701
+ "eval_samples_per_second": 690.074,
702
+ "step": 860
703
+ },
704
+ {
705
+ "epoch": 54.38,
706
+ "eval_loss": 1.2319210767745972,
707
+ "eval_micro_f1": 0.7966507172023963,
708
+ "eval_runtime": 1.293,
709
+ "eval_samples_per_second": 646.538,
710
+ "step": 870
711
+ },
712
+ {
713
+ "epoch": 55.0,
714
+ "eval_loss": 1.2394708395004272,
715
+ "eval_micro_f1": 0.7894736837095819,
716
+ "eval_runtime": 1.2712,
717
+ "eval_samples_per_second": 657.649,
718
+ "step": 880
719
+ },
720
+ {
721
+ "epoch": 55.62,
722
+ "eval_loss": 1.2563230991363525,
723
+ "eval_micro_f1": 0.7918660282071867,
724
+ "eval_runtime": 0.9917,
725
+ "eval_samples_per_second": 842.982,
726
+ "step": 890
727
+ },
728
+ {
729
+ "epoch": 56.25,
730
+ "eval_loss": 1.228058934211731,
731
+ "eval_micro_f1": 0.805023922944013,
732
+ "eval_runtime": 1.2046,
733
+ "eval_samples_per_second": 693.995,
734
+ "step": 900
735
+ },
736
+ {
737
+ "epoch": 56.88,
738
+ "eval_loss": 1.1921310424804688,
739
+ "eval_micro_f1": 0.8074162674416179,
740
+ "eval_runtime": 1.248,
741
+ "eval_samples_per_second": 669.888,
742
+ "step": 910
743
+ },
744
+ {
745
+ "epoch": 57.5,
746
+ "eval_loss": 1.2339122295379639,
747
+ "eval_micro_f1": 0.8062200951928155,
748
+ "eval_runtime": 1.2206,
749
+ "eval_samples_per_second": 684.9,
750
+ "step": 920
751
+ },
752
+ {
753
+ "epoch": 58.12,
754
+ "eval_loss": 1.2367137670516968,
755
+ "eval_micro_f1": 0.8038277506952107,
756
+ "eval_runtime": 1.2785,
757
+ "eval_samples_per_second": 653.869,
758
+ "step": 930
759
+ },
760
+ {
761
+ "epoch": 58.75,
762
+ "eval_loss": 1.2339813709259033,
763
+ "eval_micro_f1": 0.801435406197606,
764
+ "eval_runtime": 1.0677,
765
+ "eval_samples_per_second": 782.976,
766
+ "step": 940
767
+ },
768
+ {
769
+ "epoch": 59.38,
770
+ "eval_loss": 1.211556077003479,
771
+ "eval_micro_f1": 0.8062200951928155,
772
+ "eval_runtime": 1.2224,
773
+ "eval_samples_per_second": 683.888,
774
+ "step": 950
775
+ },
776
+ {
777
+ "epoch": 60.0,
778
+ "eval_loss": 1.232566475868225,
779
+ "eval_micro_f1": 0.8026315784464082,
780
+ "eval_runtime": 1.2448,
781
+ "eval_samples_per_second": 671.612,
782
+ "step": 960
783
+ },
784
+ {
785
+ "epoch": 60.62,
786
+ "eval_loss": 1.3279404640197754,
787
+ "eval_micro_f1": 0.7822966502167676,
788
+ "eval_runtime": 1.3157,
789
+ "eval_samples_per_second": 635.425,
790
+ "step": 970
791
+ },
792
+ {
793
+ "epoch": 61.25,
794
+ "eval_loss": 1.3272722959518433,
795
+ "eval_micro_f1": 0.7846889947143724,
796
+ "eval_runtime": 1.1899,
797
+ "eval_samples_per_second": 702.602,
798
+ "step": 980
799
+ },
800
+ {
801
+ "epoch": 61.88,
802
+ "eval_loss": 1.2583824396133423,
803
+ "eval_micro_f1": 0.8002392339488035,
804
+ "eval_runtime": 0.879,
805
+ "eval_samples_per_second": 951.032,
806
+ "step": 990
807
+ },
808
+ {
809
+ "epoch": 62.5,
810
+ "learning_rate": 7.916666666666667e-06,
811
+ "loss": 0.0078,
812
+ "step": 1000
813
+ },
814
+ {
815
+ "epoch": 62.5,
816
+ "eval_loss": 1.1969189643859863,
817
+ "eval_micro_f1": 0.8086124396904203,
818
+ "eval_runtime": 1.3096,
819
+ "eval_samples_per_second": 638.368,
820
+ "step": 1000
821
+ },
822
+ {
823
+ "epoch": 63.12,
824
+ "eval_loss": 1.1956655979156494,
825
+ "eval_micro_f1": 0.8086124396904203,
826
+ "eval_runtime": 1.0962,
827
+ "eval_samples_per_second": 762.667,
828
+ "step": 1010
829
+ },
830
+ {
831
+ "epoch": 63.75,
832
+ "eval_loss": 1.2163807153701782,
833
+ "eval_micro_f1": 0.8074162674416179,
834
+ "eval_runtime": 1.3787,
835
+ "eval_samples_per_second": 606.388,
836
+ "step": 1020
837
+ },
838
+ {
839
+ "epoch": 64.38,
840
+ "eval_loss": 1.210200309753418,
841
+ "eval_micro_f1": 0.8110047841880251,
842
+ "eval_runtime": 1.2665,
843
+ "eval_samples_per_second": 660.086,
844
+ "step": 1030
845
+ },
846
+ {
847
+ "epoch": 65.0,
848
+ "eval_loss": 1.2128517627716064,
849
+ "eval_micro_f1": 0.8110047841880251,
850
+ "eval_runtime": 1.2021,
851
+ "eval_samples_per_second": 695.431,
852
+ "step": 1040
853
+ },
854
+ {
855
+ "epoch": 65.62,
856
+ "eval_loss": 1.2162755727767944,
857
+ "eval_micro_f1": 0.8133971286856299,
858
+ "eval_runtime": 1.2565,
859
+ "eval_samples_per_second": 665.323,
860
+ "step": 1050
861
+ },
862
+ {
863
+ "epoch": 66.25,
864
+ "eval_loss": 1.2298272848129272,
865
+ "eval_micro_f1": 0.7990430617000013,
866
+ "eval_runtime": 1.6232,
867
+ "eval_samples_per_second": 515.022,
868
+ "step": 1060
869
+ },
870
+ {
871
+ "epoch": 66.88,
872
+ "eval_loss": 1.2755159139633179,
873
+ "eval_micro_f1": 0.7978468894511987,
874
+ "eval_runtime": 1.2261,
875
+ "eval_samples_per_second": 681.813,
876
+ "step": 1070
877
+ },
878
+ {
879
+ "epoch": 67.5,
880
+ "eval_loss": 1.2912817001342773,
881
+ "eval_micro_f1": 0.7954545449535938,
882
+ "eval_runtime": 1.1591,
883
+ "eval_samples_per_second": 721.241,
884
+ "step": 1080
885
+ },
886
+ {
887
+ "epoch": 68.12,
888
+ "eval_loss": 1.3157159090042114,
889
+ "eval_micro_f1": 0.7966507172023963,
890
+ "eval_runtime": 1.2387,
891
+ "eval_samples_per_second": 674.901,
892
+ "step": 1090
893
+ },
894
+ {
895
+ "epoch": 68.75,
896
+ "eval_loss": 1.3245816230773926,
897
+ "eval_micro_f1": 0.7966507172023963,
898
+ "eval_runtime": 1.1908,
899
+ "eval_samples_per_second": 702.038,
900
+ "step": 1100
901
+ },
902
+ {
903
+ "epoch": 69.38,
904
+ "eval_loss": 1.3124953508377075,
905
+ "eval_micro_f1": 0.7978468894511987,
906
+ "eval_runtime": 1.1483,
907
+ "eval_samples_per_second": 728.05,
908
+ "step": 1110
909
+ },
910
+ {
911
+ "epoch": 70.0,
912
+ "eval_loss": 1.3136175870895386,
913
+ "eval_micro_f1": 0.7978468894511987,
914
+ "eval_runtime": 1.2297,
915
+ "eval_samples_per_second": 679.856,
916
+ "step": 1120
917
+ },
918
+ {
919
+ "epoch": 70.62,
920
+ "eval_loss": 1.317233681678772,
921
+ "eval_micro_f1": 0.7954545449535938,
922
+ "eval_runtime": 1.2422,
923
+ "eval_samples_per_second": 673.009,
924
+ "step": 1130
925
+ },
926
+ {
927
+ "epoch": 71.25,
928
+ "eval_loss": 1.342434048652649,
929
+ "eval_micro_f1": 0.7930622004559891,
930
+ "eval_runtime": 1.2164,
931
+ "eval_samples_per_second": 687.252,
932
+ "step": 1140
933
+ },
934
+ {
935
+ "epoch": 71.88,
936
+ "eval_loss": 1.3436208963394165,
937
+ "eval_micro_f1": 0.7930622004559891,
938
+ "eval_runtime": 1.2786,
939
+ "eval_samples_per_second": 653.846,
940
+ "step": 1150
941
+ },
942
+ {
943
+ "epoch": 72.5,
944
+ "eval_loss": 1.338441252708435,
945
+ "eval_micro_f1": 0.7954545449535938,
946
+ "eval_runtime": 1.2159,
947
+ "eval_samples_per_second": 687.582,
948
+ "step": 1160
949
+ },
950
+ {
951
+ "epoch": 73.12,
952
+ "eval_loss": 1.3312480449676514,
953
+ "eval_micro_f1": 0.7966507172023963,
954
+ "eval_runtime": 1.2921,
955
+ "eval_samples_per_second": 647.025,
956
+ "step": 1170
957
+ },
958
+ {
959
+ "epoch": 73.75,
960
+ "eval_loss": 1.3264278173446655,
961
+ "eval_micro_f1": 0.7978468894511987,
962
+ "eval_runtime": 3.9896,
963
+ "eval_samples_per_second": 209.544,
964
+ "step": 1180
965
+ },
966
+ {
967
+ "epoch": 74.38,
968
+ "eval_loss": 1.3332304954528809,
969
+ "eval_micro_f1": 0.7966507172023963,
970
+ "eval_runtime": 1.2124,
971
+ "eval_samples_per_second": 689.539,
972
+ "step": 1190
973
+ },
974
+ {
975
+ "epoch": 75.0,
976
+ "eval_loss": 1.2966439723968506,
977
+ "eval_micro_f1": 0.801435406197606,
978
+ "eval_runtime": 0.8752,
979
+ "eval_samples_per_second": 955.179,
980
+ "step": 1200
981
+ },
982
+ {
983
+ "epoch": 75.62,
984
+ "eval_loss": 1.2809137105941772,
985
+ "eval_micro_f1": 0.801435406197606,
986
+ "eval_runtime": 1.2334,
987
+ "eval_samples_per_second": 677.811,
988
+ "step": 1210
989
+ },
990
+ {
991
+ "epoch": 76.25,
992
+ "eval_loss": 1.2974853515625,
993
+ "eval_micro_f1": 0.7978468894511987,
994
+ "eval_runtime": 1.233,
995
+ "eval_samples_per_second": 678.032,
996
+ "step": 1220
997
+ },
998
+ {
999
+ "epoch": 76.88,
1000
+ "eval_loss": 1.310535192489624,
1001
+ "eval_micro_f1": 0.7942583727047915,
1002
+ "eval_runtime": 1.2405,
1003
+ "eval_samples_per_second": 673.936,
1004
+ "step": 1230
1005
+ },
1006
+ {
1007
+ "epoch": 77.5,
1008
+ "eval_loss": 1.3318800926208496,
1009
+ "eval_micro_f1": 0.7942583727047915,
1010
+ "eval_runtime": 1.2634,
1011
+ "eval_samples_per_second": 661.702,
1012
+ "step": 1240
1013
+ },
1014
+ {
1015
+ "epoch": 78.12,
1016
+ "eval_loss": 1.3147168159484863,
1017
+ "eval_micro_f1": 0.7966507172023963,
1018
+ "eval_runtime": 0.8772,
1019
+ "eval_samples_per_second": 953.073,
1020
+ "step": 1250
1021
+ },
1022
+ {
1023
+ "epoch": 78.75,
1024
+ "eval_loss": 1.2976956367492676,
1025
+ "eval_micro_f1": 0.7990430617000013,
1026
+ "eval_runtime": 1.264,
1027
+ "eval_samples_per_second": 661.391,
1028
+ "step": 1260
1029
+ },
1030
+ {
1031
+ "epoch": 79.38,
1032
+ "eval_loss": 1.3273509740829468,
1033
+ "eval_micro_f1": 0.7978468894511987,
1034
+ "eval_runtime": 1.2445,
1035
+ "eval_samples_per_second": 671.777,
1036
+ "step": 1270
1037
+ },
1038
+ {
1039
+ "epoch": 80.0,
1040
+ "eval_loss": 1.3371427059173584,
1041
+ "eval_micro_f1": 0.7954545449535938,
1042
+ "eval_runtime": 1.2894,
1043
+ "eval_samples_per_second": 648.368,
1044
+ "step": 1280
1045
+ },
1046
+ {
1047
+ "epoch": 80.62,
1048
+ "eval_loss": 1.327476143836975,
1049
+ "eval_micro_f1": 0.7978468894511987,
1050
+ "eval_runtime": 1.2422,
1051
+ "eval_samples_per_second": 673.01,
1052
+ "step": 1290
1053
+ },
1054
+ {
1055
+ "epoch": 81.25,
1056
+ "eval_loss": 1.3186708688735962,
1057
+ "eval_micro_f1": 0.7990430617000013,
1058
+ "eval_runtime": 0.8785,
1059
+ "eval_samples_per_second": 951.656,
1060
+ "step": 1300
1061
+ },
1062
+ {
1063
+ "epoch": 81.88,
1064
+ "eval_loss": 1.332135796546936,
1065
+ "eval_micro_f1": 0.7978468894511987,
1066
+ "eval_runtime": 1.2523,
1067
+ "eval_samples_per_second": 667.587,
1068
+ "step": 1310
1069
+ },
1070
+ {
1071
+ "epoch": 82.5,
1072
+ "eval_loss": 1.318489909172058,
1073
+ "eval_micro_f1": 0.8002392339488035,
1074
+ "eval_runtime": 1.2698,
1075
+ "eval_samples_per_second": 658.368,
1076
+ "step": 1320
1077
+ },
1078
+ {
1079
+ "epoch": 83.12,
1080
+ "eval_loss": 1.2983919382095337,
1081
+ "eval_micro_f1": 0.8038277506952107,
1082
+ "eval_runtime": 1.2359,
1083
+ "eval_samples_per_second": 676.443,
1084
+ "step": 1330
1085
+ },
1086
+ {
1087
+ "epoch": 83.75,
1088
+ "eval_loss": 1.291175365447998,
1089
+ "eval_micro_f1": 0.8062200951928155,
1090
+ "eval_runtime": 1.1857,
1091
+ "eval_samples_per_second": 705.057,
1092
+ "step": 1340
1093
+ },
1094
+ {
1095
+ "epoch": 84.38,
1096
+ "eval_loss": 1.2960314750671387,
1097
+ "eval_micro_f1": 0.8074162674416179,
1098
+ "eval_runtime": 0.8815,
1099
+ "eval_samples_per_second": 948.384,
1100
+ "step": 1350
1101
+ },
1102
+ {
1103
+ "epoch": 85.0,
1104
+ "eval_loss": 1.3666927814483643,
1105
+ "eval_micro_f1": 0.7966507172023963,
1106
+ "eval_runtime": 1.2997,
1107
+ "eval_samples_per_second": 643.203,
1108
+ "step": 1360
1109
+ },
1110
+ {
1111
+ "epoch": 85.62,
1112
+ "eval_loss": 1.4970866441726685,
1113
+ "eval_micro_f1": 0.7667464109823364,
1114
+ "eval_runtime": 1.2654,
1115
+ "eval_samples_per_second": 660.663,
1116
+ "step": 1370
1117
+ },
1118
+ {
1119
+ "epoch": 86.25,
1120
+ "eval_loss": 1.5397878885269165,
1121
+ "eval_micro_f1": 0.7643540664847316,
1122
+ "eval_runtime": 1.1787,
1123
+ "eval_samples_per_second": 709.241,
1124
+ "step": 1380
1125
+ },
1126
+ {
1127
+ "epoch": 86.88,
1128
+ "eval_loss": 1.39130437374115,
1129
+ "eval_micro_f1": 0.7906698559583843,
1130
+ "eval_runtime": 1.2669,
1131
+ "eval_samples_per_second": 659.895,
1132
+ "step": 1390
1133
+ },
1134
+ {
1135
+ "epoch": 87.5,
1136
+ "eval_loss": 1.2624567747116089,
1137
+ "eval_micro_f1": 0.8122009564368274,
1138
+ "eval_runtime": 0.8738,
1139
+ "eval_samples_per_second": 956.757,
1140
+ "step": 1400
1141
+ },
1142
+ {
1143
+ "epoch": 88.12,
1144
+ "eval_loss": 1.2743109464645386,
1145
+ "eval_micro_f1": 0.8110047841880251,
1146
+ "eval_runtime": 1.284,
1147
+ "eval_samples_per_second": 651.102,
1148
+ "step": 1410
1149
+ },
1150
+ {
1151
+ "epoch": 88.75,
1152
+ "eval_loss": 1.2854809761047363,
1153
+ "eval_micro_f1": 0.8086124396904203,
1154
+ "eval_runtime": 1.2065,
1155
+ "eval_samples_per_second": 692.911,
1156
+ "step": 1420
1157
+ },
1158
+ {
1159
+ "epoch": 89.38,
1160
+ "eval_loss": 1.327154278755188,
1161
+ "eval_micro_f1": 0.7990430617000013,
1162
+ "eval_runtime": 1.1934,
1163
+ "eval_samples_per_second": 700.519,
1164
+ "step": 1430
1165
+ },
1166
+ {
1167
+ "epoch": 90.0,
1168
+ "eval_loss": 1.3507665395736694,
1169
+ "eval_micro_f1": 0.7882775114607795,
1170
+ "eval_runtime": 1.2239,
1171
+ "eval_samples_per_second": 683.074,
1172
+ "step": 1440
1173
+ },
1174
+ {
1175
+ "epoch": 90.62,
1176
+ "eval_loss": 1.2883785963058472,
1177
+ "eval_micro_f1": 0.8086124396904203,
1178
+ "eval_runtime": 0.8728,
1179
+ "eval_samples_per_second": 957.881,
1180
+ "step": 1450
1181
+ },
1182
+ {
1183
+ "epoch": 91.25,
1184
+ "eval_loss": 1.2497007846832275,
1185
+ "eval_micro_f1": 0.8122009564368274,
1186
+ "eval_runtime": 1.3123,
1187
+ "eval_samples_per_second": 637.046,
1188
+ "step": 1460
1189
+ },
1190
+ {
1191
+ "epoch": 91.88,
1192
+ "eval_loss": 1.2521108388900757,
1193
+ "eval_micro_f1": 0.8145933009344323,
1194
+ "eval_runtime": 1.1754,
1195
+ "eval_samples_per_second": 711.23,
1196
+ "step": 1470
1197
+ },
1198
+ {
1199
+ "epoch": 92.5,
1200
+ "eval_loss": 1.2865349054336548,
1201
+ "eval_micro_f1": 0.8074162674416179,
1202
+ "eval_runtime": 1.2551,
1203
+ "eval_samples_per_second": 666.106,
1204
+ "step": 1480
1205
+ },
1206
+ {
1207
+ "epoch": 93.12,
1208
+ "eval_loss": 1.3087444305419922,
1209
+ "eval_micro_f1": 0.805023922944013,
1210
+ "eval_runtime": 1.1018,
1211
+ "eval_samples_per_second": 758.737,
1212
+ "step": 1490
1213
+ },
1214
+ {
1215
+ "epoch": 93.75,
1216
+ "learning_rate": 6.875e-06,
1217
+ "loss": 0.0051,
1218
+ "step": 1500
1219
+ },
1220
+ {
1221
+ "epoch": 93.75,
1222
+ "eval_loss": 1.3142979145050049,
1223
+ "eval_micro_f1": 0.8062200951928155,
1224
+ "eval_runtime": 0.8803,
1225
+ "eval_samples_per_second": 949.724,
1226
+ "step": 1500
1227
+ },
1228
+ {
1229
+ "epoch": 94.38,
1230
+ "eval_loss": 1.2547414302825928,
1231
+ "eval_micro_f1": 0.8098086119392227,
1232
+ "eval_runtime": 1.2904,
1233
+ "eval_samples_per_second": 647.886,
1234
+ "step": 1510
1235
+ },
1236
+ {
1237
+ "epoch": 95.0,
1238
+ "eval_loss": 1.2591632604599,
1239
+ "eval_micro_f1": 0.8086124396904203,
1240
+ "eval_runtime": 1.2169,
1241
+ "eval_samples_per_second": 687.019,
1242
+ "step": 1520
1243
+ },
1244
+ {
1245
+ "epoch": 95.62,
1246
+ "eval_loss": 1.2607752084732056,
1247
+ "eval_micro_f1": 0.8086124396904203,
1248
+ "eval_runtime": 1.2989,
1249
+ "eval_samples_per_second": 643.606,
1250
+ "step": 1530
1251
+ },
1252
+ {
1253
+ "epoch": 96.25,
1254
+ "eval_loss": 1.292096734046936,
1255
+ "eval_micro_f1": 0.8074162674416179,
1256
+ "eval_runtime": 1.2125,
1257
+ "eval_samples_per_second": 689.47,
1258
+ "step": 1540
1259
+ },
1260
+ {
1261
+ "epoch": 96.88,
1262
+ "eval_loss": 1.3454042673110962,
1263
+ "eval_micro_f1": 0.7990430617000013,
1264
+ "eval_runtime": 1.4007,
1265
+ "eval_samples_per_second": 596.855,
1266
+ "step": 1550
1267
+ },
1268
+ {
1269
+ "epoch": 97.5,
1270
+ "eval_loss": 1.3864357471466064,
1271
+ "eval_micro_f1": 0.7966507172023963,
1272
+ "eval_runtime": 1.2241,
1273
+ "eval_samples_per_second": 682.938,
1274
+ "step": 1560
1275
+ },
1276
+ {
1277
+ "epoch": 98.12,
1278
+ "eval_loss": 1.3908559083938599,
1279
+ "eval_micro_f1": 0.7966507172023963,
1280
+ "eval_runtime": 1.3369,
1281
+ "eval_samples_per_second": 625.31,
1282
+ "step": 1570
1283
+ },
1284
+ {
1285
+ "epoch": 98.75,
1286
+ "eval_loss": 1.4005109071731567,
1287
+ "eval_micro_f1": 0.7942583727047915,
1288
+ "eval_runtime": 1.2554,
1289
+ "eval_samples_per_second": 665.924,
1290
+ "step": 1580
1291
+ },
1292
+ {
1293
+ "epoch": 99.38,
1294
+ "eval_loss": 1.391554832458496,
1295
+ "eval_micro_f1": 0.7978468894511987,
1296
+ "eval_runtime": 1.2244,
1297
+ "eval_samples_per_second": 682.765,
1298
+ "step": 1590
1299
+ },
1300
+ {
1301
+ "epoch": 100.0,
1302
+ "eval_loss": 1.3920481204986572,
1303
+ "eval_micro_f1": 0.7954545449535938,
1304
+ "eval_runtime": 0.8815,
1305
+ "eval_samples_per_second": 948.377,
1306
+ "step": 1600
1307
+ },
1308
+ {
1309
+ "epoch": 100.62,
1310
+ "eval_loss": 1.3875278234481812,
1311
+ "eval_micro_f1": 0.7930622004559891,
1312
+ "eval_runtime": 1.2232,
1313
+ "eval_samples_per_second": 683.451,
1314
+ "step": 1610
1315
+ },
1316
+ {
1317
+ "epoch": 101.25,
1318
+ "eval_loss": 1.4043912887573242,
1319
+ "eval_micro_f1": 0.7894736837095819,
1320
+ "eval_runtime": 1.1326,
1321
+ "eval_samples_per_second": 738.143,
1322
+ "step": 1620
1323
+ },
1324
+ {
1325
+ "epoch": 101.88,
1326
+ "eval_loss": 1.4151456356048584,
1327
+ "eval_micro_f1": 0.7894736837095819,
1328
+ "eval_runtime": 1.3225,
1329
+ "eval_samples_per_second": 632.123,
1330
+ "step": 1630
1331
+ },
1332
+ {
1333
+ "epoch": 102.5,
1334
+ "eval_loss": 1.4104795455932617,
1335
+ "eval_micro_f1": 0.7906698559583843,
1336
+ "eval_runtime": 1.2042,
1337
+ "eval_samples_per_second": 694.229,
1338
+ "step": 1640
1339
+ },
1340
+ {
1341
+ "epoch": 103.12,
1342
+ "eval_loss": 1.375184178352356,
1343
+ "eval_micro_f1": 0.7942583727047915,
1344
+ "eval_runtime": 1.1911,
1345
+ "eval_samples_per_second": 701.874,
1346
+ "step": 1650
1347
+ },
1348
+ {
1349
+ "epoch": 103.75,
1350
+ "eval_loss": 1.3621584177017212,
1351
+ "eval_micro_f1": 0.805023922944013,
1352
+ "eval_runtime": 1.2147,
1353
+ "eval_samples_per_second": 688.226,
1354
+ "step": 1660
1355
+ },
1356
+ {
1357
+ "epoch": 104.38,
1358
+ "eval_loss": 1.3727388381958008,
1359
+ "eval_micro_f1": 0.801435406197606,
1360
+ "eval_runtime": 1.209,
1361
+ "eval_samples_per_second": 691.473,
1362
+ "step": 1670
1363
+ },
1364
+ {
1365
+ "epoch": 105.0,
1366
+ "eval_loss": 1.380932331085205,
1367
+ "eval_micro_f1": 0.801435406197606,
1368
+ "eval_runtime": 1.2641,
1369
+ "eval_samples_per_second": 661.316,
1370
+ "step": 1680
1371
+ },
1372
+ {
1373
+ "epoch": 105.62,
1374
+ "eval_loss": 1.3932331800460815,
1375
+ "eval_micro_f1": 0.7978468894511987,
1376
+ "eval_runtime": 1.2238,
1377
+ "eval_samples_per_second": 683.116,
1378
+ "step": 1690
1379
+ },
1380
+ {
1381
+ "epoch": 106.25,
1382
+ "eval_loss": 1.3928004503250122,
1383
+ "eval_micro_f1": 0.7966507172023963,
1384
+ "eval_runtime": 1.1965,
1385
+ "eval_samples_per_second": 698.711,
1386
+ "step": 1700
1387
+ },
1388
+ {
1389
+ "epoch": 106.88,
1390
+ "eval_loss": 1.3964753150939941,
1391
+ "eval_micro_f1": 0.7954545449535938,
1392
+ "eval_runtime": 0.8771,
1393
+ "eval_samples_per_second": 953.152,
1394
+ "step": 1710
1395
+ },
1396
+ {
1397
+ "epoch": 107.5,
1398
+ "eval_loss": 1.386148452758789,
1399
+ "eval_micro_f1": 0.8002392339488035,
1400
+ "eval_runtime": 1.2205,
1401
+ "eval_samples_per_second": 684.952,
1402
+ "step": 1720
1403
+ },
1404
+ {
1405
+ "epoch": 108.12,
1406
+ "eval_loss": 1.3845064640045166,
1407
+ "eval_micro_f1": 0.7990430617000013,
1408
+ "eval_runtime": 1.2444,
1409
+ "eval_samples_per_second": 671.803,
1410
+ "step": 1730
1411
+ },
1412
+ {
1413
+ "epoch": 108.75,
1414
+ "eval_loss": 1.3763731718063354,
1415
+ "eval_micro_f1": 0.801435406197606,
1416
+ "eval_runtime": 1.3141,
1417
+ "eval_samples_per_second": 636.162,
1418
+ "step": 1740
1419
+ },
1420
+ {
1421
+ "epoch": 109.38,
1422
+ "eval_loss": 1.377465844154358,
1423
+ "eval_micro_f1": 0.7978468894511987,
1424
+ "eval_runtime": 1.2303,
1425
+ "eval_samples_per_second": 679.51,
1426
+ "step": 1750
1427
+ },
1428
+ {
1429
+ "epoch": 110.0,
1430
+ "eval_loss": 1.3758480548858643,
1431
+ "eval_micro_f1": 0.8002392339488035,
1432
+ "eval_runtime": 0.8807,
1433
+ "eval_samples_per_second": 949.229,
1434
+ "step": 1760
1435
+ },
1436
+ {
1437
+ "epoch": 110.62,
1438
+ "eval_loss": 1.3523021936416626,
1439
+ "eval_micro_f1": 0.8002392339488035,
1440
+ "eval_runtime": 1.5753,
1441
+ "eval_samples_per_second": 530.681,
1442
+ "step": 1770
1443
+ },
1444
+ {
1445
+ "epoch": 111.25,
1446
+ "eval_loss": 1.3379099369049072,
1447
+ "eval_micro_f1": 0.8086124396904203,
1448
+ "eval_runtime": 1.2925,
1449
+ "eval_samples_per_second": 646.831,
1450
+ "step": 1780
1451
+ },
1452
+ {
1453
+ "epoch": 111.88,
1454
+ "eval_loss": 1.3364219665527344,
1455
+ "eval_micro_f1": 0.8098086119392227,
1456
+ "eval_runtime": 1.2079,
1457
+ "eval_samples_per_second": 692.136,
1458
+ "step": 1790
1459
+ },
1460
+ {
1461
+ "epoch": 112.5,
1462
+ "eval_loss": 1.3755286931991577,
1463
+ "eval_micro_f1": 0.8074162674416179,
1464
+ "eval_runtime": 1.242,
1465
+ "eval_samples_per_second": 673.103,
1466
+ "step": 1800
1467
+ },
1468
+ {
1469
+ "epoch": 113.12,
1470
+ "eval_loss": 1.3941314220428467,
1471
+ "eval_micro_f1": 0.8062200951928155,
1472
+ "eval_runtime": 0.8774,
1473
+ "eval_samples_per_second": 952.794,
1474
+ "step": 1810
1475
+ },
1476
+ {
1477
+ "epoch": 113.75,
1478
+ "eval_loss": 1.3608207702636719,
1479
+ "eval_micro_f1": 0.8062200951928155,
1480
+ "eval_runtime": 1.225,
1481
+ "eval_samples_per_second": 682.462,
1482
+ "step": 1820
1483
+ },
1484
+ {
1485
+ "epoch": 114.38,
1486
+ "eval_loss": 1.363614797592163,
1487
+ "eval_micro_f1": 0.7990430617000013,
1488
+ "eval_runtime": 1.2034,
1489
+ "eval_samples_per_second": 694.715,
1490
+ "step": 1830
1491
+ },
1492
+ {
1493
+ "epoch": 115.0,
1494
+ "eval_loss": 1.3695135116577148,
1495
+ "eval_micro_f1": 0.8026315784464082,
1496
+ "eval_runtime": 1.2559,
1497
+ "eval_samples_per_second": 665.647,
1498
+ "step": 1840
1499
+ },
1500
+ {
1501
+ "epoch": 115.62,
1502
+ "eval_loss": 1.3885483741760254,
1503
+ "eval_micro_f1": 0.8002392339488035,
1504
+ "eval_runtime": 1.2092,
1505
+ "eval_samples_per_second": 691.391,
1506
+ "step": 1850
1507
+ },
1508
+ {
1509
+ "epoch": 116.25,
1510
+ "eval_loss": 1.3952767848968506,
1511
+ "eval_micro_f1": 0.8038277506952107,
1512
+ "eval_runtime": 0.8801,
1513
+ "eval_samples_per_second": 949.859,
1514
+ "step": 1860
1515
+ },
1516
+ {
1517
+ "epoch": 116.88,
1518
+ "eval_loss": 1.4006528854370117,
1519
+ "eval_micro_f1": 0.8026315784464082,
1520
+ "eval_runtime": 1.2331,
1521
+ "eval_samples_per_second": 677.969,
1522
+ "step": 1870
1523
+ },
1524
+ {
1525
+ "epoch": 117.5,
1526
+ "eval_loss": 1.4018462896347046,
1527
+ "eval_micro_f1": 0.8038277506952107,
1528
+ "eval_runtime": 1.214,
1529
+ "eval_samples_per_second": 688.636,
1530
+ "step": 1880
1531
+ },
1532
+ {
1533
+ "epoch": 118.12,
1534
+ "eval_loss": 1.3956125974655151,
1535
+ "eval_micro_f1": 0.8038277506952107,
1536
+ "eval_runtime": 1.2698,
1537
+ "eval_samples_per_second": 658.395,
1538
+ "step": 1890
1539
+ },
1540
+ {
1541
+ "epoch": 118.75,
1542
+ "eval_loss": 1.399295449256897,
1543
+ "eval_micro_f1": 0.805023922944013,
1544
+ "eval_runtime": 1.1873,
1545
+ "eval_samples_per_second": 704.098,
1546
+ "step": 1900
1547
+ },
1548
+ {
1549
+ "epoch": 119.38,
1550
+ "eval_loss": 1.3782769441604614,
1551
+ "eval_micro_f1": 0.8074162674416179,
1552
+ "eval_runtime": 0.8736,
1553
+ "eval_samples_per_second": 957.009,
1554
+ "step": 1910
1555
+ },
1556
+ {
1557
+ "epoch": 120.0,
1558
+ "eval_loss": 1.3840773105621338,
1559
+ "eval_micro_f1": 0.8062200951928155,
1560
+ "eval_runtime": 1.3233,
1561
+ "eval_samples_per_second": 631.744,
1562
+ "step": 1920
1563
+ },
1564
+ {
1565
+ "epoch": 120.62,
1566
+ "eval_loss": 1.3932669162750244,
1567
+ "eval_micro_f1": 0.8062200951928155,
1568
+ "eval_runtime": 1.1049,
1569
+ "eval_samples_per_second": 756.626,
1570
+ "step": 1930
1571
+ },
1572
+ {
1573
+ "epoch": 121.25,
1574
+ "eval_loss": 1.4053575992584229,
1575
+ "eval_micro_f1": 0.805023922944013,
1576
+ "eval_runtime": 1.2271,
1577
+ "eval_samples_per_second": 681.275,
1578
+ "step": 1940
1579
+ },
1580
+ {
1581
+ "epoch": 121.88,
1582
+ "eval_loss": 1.4166978597640991,
1583
+ "eval_micro_f1": 0.7990430617000013,
1584
+ "eval_runtime": 1.2483,
1585
+ "eval_samples_per_second": 669.695,
1586
+ "step": 1950
1587
+ },
1588
+ {
1589
+ "epoch": 122.5,
1590
+ "eval_loss": 1.4135366678237915,
1591
+ "eval_micro_f1": 0.8026315784464082,
1592
+ "eval_runtime": 0.8725,
1593
+ "eval_samples_per_second": 958.127,
1594
+ "step": 1960
1595
+ },
1596
+ {
1597
+ "epoch": 123.12,
1598
+ "eval_loss": 1.4139994382858276,
1599
+ "eval_micro_f1": 0.8002392339488035,
1600
+ "eval_runtime": 1.2175,
1601
+ "eval_samples_per_second": 686.667,
1602
+ "step": 1970
1603
+ },
1604
+ {
1605
+ "epoch": 123.75,
1606
+ "eval_loss": 1.4165161848068237,
1607
+ "eval_micro_f1": 0.801435406197606,
1608
+ "eval_runtime": 1.3362,
1609
+ "eval_samples_per_second": 625.641,
1610
+ "step": 1980
1611
+ },
1612
+ {
1613
+ "epoch": 124.38,
1614
+ "eval_loss": 1.40915846824646,
1615
+ "eval_micro_f1": 0.8038277506952107,
1616
+ "eval_runtime": 1.2142,
1617
+ "eval_samples_per_second": 688.537,
1618
+ "step": 1990
1619
+ },
1620
+ {
1621
+ "epoch": 125.0,
1622
+ "learning_rate": 5.833333333333334e-06,
1623
+ "loss": 0.0044,
1624
+ "step": 2000
1625
+ },
1626
+ {
1627
+ "epoch": 125.0,
1628
+ "eval_loss": 1.4081146717071533,
1629
+ "eval_micro_f1": 0.805023922944013,
1630
+ "eval_runtime": 1.2318,
1631
+ "eval_samples_per_second": 678.656,
1632
+ "step": 2000
1633
+ },
1634
+ {
1635
+ "epoch": 125.62,
1636
+ "eval_loss": 1.4219191074371338,
1637
+ "eval_micro_f1": 0.7990430617000013,
1638
+ "eval_runtime": 0.8813,
1639
+ "eval_samples_per_second": 948.645,
1640
+ "step": 2010
1641
+ },
1642
+ {
1643
+ "epoch": 126.25,
1644
+ "eval_loss": 1.3743187189102173,
1645
+ "eval_micro_f1": 0.8086124396904203,
1646
+ "eval_runtime": 1.2439,
1647
+ "eval_samples_per_second": 672.106,
1648
+ "step": 2020
1649
+ },
1650
+ {
1651
+ "epoch": 126.88,
1652
+ "eval_loss": 1.362810492515564,
1653
+ "eval_micro_f1": 0.8145933009344323,
1654
+ "eval_runtime": 1.1987,
1655
+ "eval_samples_per_second": 697.407,
1656
+ "step": 2030
1657
+ },
1658
+ {
1659
+ "epoch": 127.5,
1660
+ "eval_loss": 1.3660919666290283,
1661
+ "eval_micro_f1": 0.8110047841880251,
1662
+ "eval_runtime": 1.2816,
1663
+ "eval_samples_per_second": 652.291,
1664
+ "step": 2040
1665
+ },
1666
+ {
1667
+ "epoch": 128.12,
1668
+ "eval_loss": 1.3641290664672852,
1669
+ "eval_micro_f1": 0.8086124396904203,
1670
+ "eval_runtime": 1.225,
1671
+ "eval_samples_per_second": 682.466,
1672
+ "step": 2050
1673
+ },
1674
+ {
1675
+ "epoch": 128.75,
1676
+ "eval_loss": 1.3647525310516357,
1677
+ "eval_micro_f1": 0.8098086119392227,
1678
+ "eval_runtime": 1.2187,
1679
+ "eval_samples_per_second": 685.983,
1680
+ "step": 2060
1681
+ },
1682
+ {
1683
+ "epoch": 129.38,
1684
+ "eval_loss": 1.360830307006836,
1685
+ "eval_micro_f1": 0.8133971286856299,
1686
+ "eval_runtime": 1.2278,
1687
+ "eval_samples_per_second": 680.892,
1688
+ "step": 2070
1689
+ },
1690
+ {
1691
+ "epoch": 130.0,
1692
+ "eval_loss": 1.3614624738693237,
1693
+ "eval_micro_f1": 0.8122009564368274,
1694
+ "eval_runtime": 1.2841,
1695
+ "eval_samples_per_second": 651.062,
1696
+ "step": 2080
1697
+ },
1698
+ {
1699
+ "epoch": 130.62,
1700
+ "eval_loss": 1.3574117422103882,
1701
+ "eval_micro_f1": 0.8122009564368274,
1702
+ "eval_runtime": 1.7015,
1703
+ "eval_samples_per_second": 491.32,
1704
+ "step": 2090
1705
+ },
1706
+ {
1707
+ "epoch": 131.25,
1708
+ "eval_loss": 1.374392032623291,
1709
+ "eval_micro_f1": 0.8122009564368274,
1710
+ "eval_runtime": 1.2828,
1711
+ "eval_samples_per_second": 651.707,
1712
+ "step": 2100
1713
+ },
1714
+ {
1715
+ "epoch": 131.88,
1716
+ "eval_loss": 1.382655143737793,
1717
+ "eval_micro_f1": 0.8122009564368274,
1718
+ "eval_runtime": 1.1275,
1719
+ "eval_samples_per_second": 741.461,
1720
+ "step": 2110
1721
+ },
1722
+ {
1723
+ "epoch": 132.5,
1724
+ "eval_loss": 1.3805127143859863,
1725
+ "eval_micro_f1": 0.8086124396904203,
1726
+ "eval_runtime": 0.8758,
1727
+ "eval_samples_per_second": 954.57,
1728
+ "step": 2120
1729
+ },
1730
+ {
1731
+ "epoch": 133.12,
1732
+ "eval_loss": 1.375221848487854,
1733
+ "eval_micro_f1": 0.8086124396904203,
1734
+ "eval_runtime": 1.2774,
1735
+ "eval_samples_per_second": 654.464,
1736
+ "step": 2130
1737
+ },
1738
+ {
1739
+ "epoch": 133.75,
1740
+ "eval_loss": 1.402666449546814,
1741
+ "eval_micro_f1": 0.805023922944013,
1742
+ "eval_runtime": 1.2807,
1743
+ "eval_samples_per_second": 652.791,
1744
+ "step": 2140
1745
+ },
1746
+ {
1747
+ "epoch": 134.38,
1748
+ "eval_loss": 1.459406852722168,
1749
+ "eval_micro_f1": 0.7918660282071867,
1750
+ "eval_runtime": 1.2372,
1751
+ "eval_samples_per_second": 675.744,
1752
+ "step": 2150
1753
+ },
1754
+ {
1755
+ "epoch": 135.0,
1756
+ "eval_loss": 1.4087191820144653,
1757
+ "eval_micro_f1": 0.7978468894511987,
1758
+ "eval_runtime": 1.1993,
1759
+ "eval_samples_per_second": 697.101,
1760
+ "step": 2160
1761
+ },
1762
+ {
1763
+ "epoch": 135.62,
1764
+ "eval_loss": 1.3900821208953857,
1765
+ "eval_micro_f1": 0.8038277506952107,
1766
+ "eval_runtime": 0.879,
1767
+ "eval_samples_per_second": 951.107,
1768
+ "step": 2170
1769
+ },
1770
+ {
1771
+ "epoch": 136.25,
1772
+ "eval_loss": 1.3888801336288452,
1773
+ "eval_micro_f1": 0.8026315784464082,
1774
+ "eval_runtime": 1.2747,
1775
+ "eval_samples_per_second": 655.835,
1776
+ "step": 2180
1777
+ },
1778
+ {
1779
+ "epoch": 136.88,
1780
+ "eval_loss": 1.3903478384017944,
1781
+ "eval_micro_f1": 0.8038277506952107,
1782
+ "eval_runtime": 1.6856,
1783
+ "eval_samples_per_second": 495.974,
1784
+ "step": 2190
1785
+ },
1786
+ {
1787
+ "epoch": 137.5,
1788
+ "eval_loss": 1.416823387145996,
1789
+ "eval_micro_f1": 0.8026315784464082,
1790
+ "eval_runtime": 1.2675,
1791
+ "eval_samples_per_second": 659.555,
1792
+ "step": 2200
1793
+ },
1794
+ {
1795
+ "epoch": 138.12,
1796
+ "eval_loss": 1.4222781658172607,
1797
+ "eval_micro_f1": 0.805023922944013,
1798
+ "eval_runtime": 1.22,
1799
+ "eval_samples_per_second": 685.227,
1800
+ "step": 2210
1801
+ },
1802
+ {
1803
+ "epoch": 138.75,
1804
+ "eval_loss": 1.4133540391921997,
1805
+ "eval_micro_f1": 0.8062200951928155,
1806
+ "eval_runtime": 0.8706,
1807
+ "eval_samples_per_second": 960.266,
1808
+ "step": 2220
1809
+ },
1810
+ {
1811
+ "epoch": 139.38,
1812
+ "eval_loss": 1.426302194595337,
1813
+ "eval_micro_f1": 0.8038277506952107,
1814
+ "eval_runtime": 1.1725,
1815
+ "eval_samples_per_second": 713.02,
1816
+ "step": 2230
1817
+ },
1818
+ {
1819
+ "epoch": 140.0,
1820
+ "eval_loss": 1.486598014831543,
1821
+ "eval_micro_f1": 0.7942583727047915,
1822
+ "eval_runtime": 1.1361,
1823
+ "eval_samples_per_second": 735.872,
1824
+ "step": 2240
1825
+ },
1826
+ {
1827
+ "epoch": 140.62,
1828
+ "eval_loss": 1.4972662925720215,
1829
+ "eval_micro_f1": 0.7918660282071867,
1830
+ "eval_runtime": 1.2368,
1831
+ "eval_samples_per_second": 675.944,
1832
+ "step": 2250
1833
+ },
1834
+ {
1835
+ "epoch": 141.25,
1836
+ "eval_loss": 1.5124529600143433,
1837
+ "eval_micro_f1": 0.7882775114607795,
1838
+ "eval_runtime": 1.324,
1839
+ "eval_samples_per_second": 631.433,
1840
+ "step": 2260
1841
+ },
1842
+ {
1843
+ "epoch": 141.88,
1844
+ "eval_loss": 1.5166574716567993,
1845
+ "eval_micro_f1": 0.7882775114607795,
1846
+ "eval_runtime": 0.9232,
1847
+ "eval_samples_per_second": 905.575,
1848
+ "step": 2270
1849
+ },
1850
+ {
1851
+ "epoch": 142.5,
1852
+ "eval_loss": 1.5198700428009033,
1853
+ "eval_micro_f1": 0.7882775114607795,
1854
+ "eval_runtime": 1.2257,
1855
+ "eval_samples_per_second": 682.035,
1856
+ "step": 2280
1857
+ },
1858
+ {
1859
+ "epoch": 143.12,
1860
+ "eval_loss": 1.506667137145996,
1861
+ "eval_micro_f1": 0.7894736837095819,
1862
+ "eval_runtime": 1.2551,
1863
+ "eval_samples_per_second": 666.058,
1864
+ "step": 2290
1865
+ },
1866
+ {
1867
+ "epoch": 143.75,
1868
+ "eval_loss": 1.353083610534668,
1869
+ "eval_micro_f1": 0.8086124396904203,
1870
+ "eval_runtime": 1.2243,
1871
+ "eval_samples_per_second": 682.853,
1872
+ "step": 2300
1873
+ },
1874
+ {
1875
+ "epoch": 144.38,
1876
+ "eval_loss": 1.3727068901062012,
1877
+ "eval_micro_f1": 0.8086124396904203,
1878
+ "eval_runtime": 1.1611,
1879
+ "eval_samples_per_second": 720.002,
1880
+ "step": 2310
1881
+ },
1882
+ {
1883
+ "epoch": 145.0,
1884
+ "eval_loss": 1.3860739469528198,
1885
+ "eval_micro_f1": 0.8086124396904203,
1886
+ "eval_runtime": 1.3389,
1887
+ "eval_samples_per_second": 624.39,
1888
+ "step": 2320
1889
+ },
1890
+ {
1891
+ "epoch": 145.62,
1892
+ "eval_loss": 1.3961546421051025,
1893
+ "eval_micro_f1": 0.8062200951928155,
1894
+ "eval_runtime": 1.2503,
1895
+ "eval_samples_per_second": 668.664,
1896
+ "step": 2330
1897
+ },
1898
+ {
1899
+ "epoch": 146.25,
1900
+ "eval_loss": 1.398186206817627,
1901
+ "eval_micro_f1": 0.805023922944013,
1902
+ "eval_runtime": 1.2663,
1903
+ "eval_samples_per_second": 660.17,
1904
+ "step": 2340
1905
+ },
1906
+ {
1907
+ "epoch": 146.88,
1908
+ "eval_loss": 1.3962750434875488,
1909
+ "eval_micro_f1": 0.8062200951928155,
1910
+ "eval_runtime": 1.2418,
1911
+ "eval_samples_per_second": 673.193,
1912
+ "step": 2350
1913
+ },
1914
+ {
1915
+ "epoch": 147.5,
1916
+ "eval_loss": 1.4075311422348022,
1917
+ "eval_micro_f1": 0.8086124396904203,
1918
+ "eval_runtime": 1.2555,
1919
+ "eval_samples_per_second": 665.849,
1920
+ "step": 2360
1921
+ },
1922
+ {
1923
+ "epoch": 148.12,
1924
+ "eval_loss": 1.4148565530776978,
1925
+ "eval_micro_f1": 0.8062200951928155,
1926
+ "eval_runtime": 1.1998,
1927
+ "eval_samples_per_second": 696.769,
1928
+ "step": 2370
1929
+ },
1930
+ {
1931
+ "epoch": 148.75,
1932
+ "eval_loss": 1.424800157546997,
1933
+ "eval_micro_f1": 0.8038277506952107,
1934
+ "eval_runtime": 0.8731,
1935
+ "eval_samples_per_second": 957.508,
1936
+ "step": 2380
1937
+ },
1938
+ {
1939
+ "epoch": 149.38,
1940
+ "eval_loss": 1.417323112487793,
1941
+ "eval_micro_f1": 0.8086124396904203,
1942
+ "eval_runtime": 1.2438,
1943
+ "eval_samples_per_second": 672.156,
1944
+ "step": 2390
1945
+ },
1946
+ {
1947
+ "epoch": 150.0,
1948
+ "eval_loss": 1.4144436120986938,
1949
+ "eval_micro_f1": 0.8074162674416179,
1950
+ "eval_runtime": 1.2261,
1951
+ "eval_samples_per_second": 681.846,
1952
+ "step": 2400
1953
+ },
1954
+ {
1955
+ "epoch": 150.62,
1956
+ "eval_loss": 1.4174091815948486,
1957
+ "eval_micro_f1": 0.801435406197606,
1958
+ "eval_runtime": 1.2274,
1959
+ "eval_samples_per_second": 681.14,
1960
+ "step": 2410
1961
+ },
1962
+ {
1963
+ "epoch": 151.25,
1964
+ "eval_loss": 1.413324236869812,
1965
+ "eval_micro_f1": 0.8002392339488035,
1966
+ "eval_runtime": 1.2046,
1967
+ "eval_samples_per_second": 694.0,
1968
+ "step": 2420
1969
+ },
1970
+ {
1971
+ "epoch": 151.88,
1972
+ "eval_loss": 1.4170891046524048,
1973
+ "eval_micro_f1": 0.8002392339488035,
1974
+ "eval_runtime": 0.872,
1975
+ "eval_samples_per_second": 958.689,
1976
+ "step": 2430
1977
+ },
1978
+ {
1979
+ "epoch": 152.5,
1980
+ "eval_loss": 1.4190303087234497,
1981
+ "eval_micro_f1": 0.8026315784464082,
1982
+ "eval_runtime": 1.2273,
1983
+ "eval_samples_per_second": 681.156,
1984
+ "step": 2440
1985
+ },
1986
+ {
1987
+ "epoch": 153.12,
1988
+ "eval_loss": 1.4272630214691162,
1989
+ "eval_micro_f1": 0.8026315784464082,
1990
+ "eval_runtime": 1.2724,
1991
+ "eval_samples_per_second": 657.001,
1992
+ "step": 2450
1993
+ },
1994
+ {
1995
+ "epoch": 153.75,
1996
+ "eval_loss": 1.429481029510498,
1997
+ "eval_micro_f1": 0.8026315784464082,
1998
+ "eval_runtime": 1.264,
1999
+ "eval_samples_per_second": 661.394,
2000
+ "step": 2460
2001
+ },
2002
+ {
2003
+ "epoch": 154.38,
2004
+ "eval_loss": 1.4257972240447998,
2005
+ "eval_micro_f1": 0.8038277506952107,
2006
+ "eval_runtime": 1.1744,
2007
+ "eval_samples_per_second": 711.853,
2008
+ "step": 2470
2009
+ },
2010
+ {
2011
+ "epoch": 155.0,
2012
+ "eval_loss": 1.4273958206176758,
2013
+ "eval_micro_f1": 0.8038277506952107,
2014
+ "eval_runtime": 0.8805,
2015
+ "eval_samples_per_second": 949.424,
2016
+ "step": 2480
2017
+ },
2018
+ {
2019
+ "epoch": 155.62,
2020
+ "eval_loss": 1.4307893514633179,
2021
+ "eval_micro_f1": 0.8038277506952107,
2022
+ "eval_runtime": 1.2578,
2023
+ "eval_samples_per_second": 664.629,
2024
+ "step": 2490
2025
+ },
2026
+ {
2027
+ "epoch": 156.25,
2028
+ "learning_rate": 4.791666666666668e-06,
2029
+ "loss": 0.0042,
2030
+ "step": 2500
2031
+ },
2032
+ {
2033
+ "epoch": 156.25,
2034
+ "eval_loss": 1.4220995903015137,
2035
+ "eval_micro_f1": 0.8038277506952107,
2036
+ "eval_runtime": 1.2821,
2037
+ "eval_samples_per_second": 652.047,
2038
+ "step": 2500
2039
+ },
2040
+ {
2041
+ "epoch": 156.88,
2042
+ "eval_loss": 1.4195088148117065,
2043
+ "eval_micro_f1": 0.8038277506952107,
2044
+ "eval_runtime": 1.2563,
2045
+ "eval_samples_per_second": 665.428,
2046
+ "step": 2510
2047
+ },
2048
+ {
2049
+ "epoch": 157.5,
2050
+ "eval_loss": 1.4252077341079712,
2051
+ "eval_micro_f1": 0.8038277506952107,
2052
+ "eval_runtime": 1.3978,
2053
+ "eval_samples_per_second": 598.091,
2054
+ "step": 2520
2055
+ },
2056
+ {
2057
+ "epoch": 158.12,
2058
+ "eval_loss": 1.428691029548645,
2059
+ "eval_micro_f1": 0.8038277506952107,
2060
+ "eval_runtime": 0.8787,
2061
+ "eval_samples_per_second": 951.381,
2062
+ "step": 2530
2063
+ },
2064
+ {
2065
+ "epoch": 158.75,
2066
+ "eval_loss": 1.4256610870361328,
2067
+ "eval_micro_f1": 0.8038277506952107,
2068
+ "eval_runtime": 1.2302,
2069
+ "eval_samples_per_second": 679.563,
2070
+ "step": 2540
2071
+ },
2072
+ {
2073
+ "epoch": 159.38,
2074
+ "eval_loss": 1.4328128099441528,
2075
+ "eval_micro_f1": 0.805023922944013,
2076
+ "eval_runtime": 1.2704,
2077
+ "eval_samples_per_second": 658.068,
2078
+ "step": 2550
2079
+ },
2080
+ {
2081
+ "epoch": 160.0,
2082
+ "eval_loss": 1.4293843507766724,
2083
+ "eval_micro_f1": 0.8038277506952107,
2084
+ "eval_runtime": 1.2275,
2085
+ "eval_samples_per_second": 681.075,
2086
+ "step": 2560
2087
+ },
2088
+ {
2089
+ "epoch": 160.62,
2090
+ "eval_loss": 1.4297587871551514,
2091
+ "eval_micro_f1": 0.8038277506952107,
2092
+ "eval_runtime": 0.8781,
2093
+ "eval_samples_per_second": 952.051,
2094
+ "step": 2570
2095
+ },
2096
+ {
2097
+ "epoch": 161.25,
2098
+ "eval_loss": 1.4381576776504517,
2099
+ "eval_micro_f1": 0.8026315784464082,
2100
+ "eval_runtime": 0.8794,
2101
+ "eval_samples_per_second": 950.628,
2102
+ "step": 2580
2103
+ },
2104
+ {
2105
+ "epoch": 161.88,
2106
+ "eval_loss": 1.439926266670227,
2107
+ "eval_micro_f1": 0.8026315784464082,
2108
+ "eval_runtime": 1.3552,
2109
+ "eval_samples_per_second": 616.906,
2110
+ "step": 2590
2111
+ },
2112
+ {
2113
+ "epoch": 162.5,
2114
+ "eval_loss": 1.4571921825408936,
2115
+ "eval_micro_f1": 0.801435406197606,
2116
+ "eval_runtime": 1.2667,
2117
+ "eval_samples_per_second": 660.002,
2118
+ "step": 2600
2119
+ },
2120
+ {
2121
+ "epoch": 163.12,
2122
+ "eval_loss": 1.4617875814437866,
2123
+ "eval_micro_f1": 0.801435406197606,
2124
+ "eval_runtime": 1.24,
2125
+ "eval_samples_per_second": 674.215,
2126
+ "step": 2610
2127
+ },
2128
+ {
2129
+ "epoch": 163.75,
2130
+ "eval_loss": 1.4595539569854736,
2131
+ "eval_micro_f1": 0.801435406197606,
2132
+ "eval_runtime": 1.1716,
2133
+ "eval_samples_per_second": 713.53,
2134
+ "step": 2620
2135
+ },
2136
+ {
2137
+ "epoch": 164.38,
2138
+ "eval_loss": 1.4529329538345337,
2139
+ "eval_micro_f1": 0.8026315784464082,
2140
+ "eval_runtime": 1.0252,
2141
+ "eval_samples_per_second": 815.48,
2142
+ "step": 2630
2143
+ },
2144
+ {
2145
+ "epoch": 165.0,
2146
+ "eval_loss": 1.4418772459030151,
2147
+ "eval_micro_f1": 0.8026315784464082,
2148
+ "eval_runtime": 1.1928,
2149
+ "eval_samples_per_second": 700.888,
2150
+ "step": 2640
2151
+ },
2152
+ {
2153
+ "epoch": 165.62,
2154
+ "eval_loss": 1.4406232833862305,
2155
+ "eval_micro_f1": 0.8026315784464082,
2156
+ "eval_runtime": 1.2626,
2157
+ "eval_samples_per_second": 662.129,
2158
+ "step": 2650
2159
+ },
2160
+ {
2161
+ "epoch": 166.25,
2162
+ "eval_loss": 1.4389880895614624,
2163
+ "eval_micro_f1": 0.8026315784464082,
2164
+ "eval_runtime": 1.2098,
2165
+ "eval_samples_per_second": 691.045,
2166
+ "step": 2660
2167
+ },
2168
+ {
2169
+ "epoch": 166.88,
2170
+ "eval_loss": 1.4397320747375488,
2171
+ "eval_micro_f1": 0.8026315784464082,
2172
+ "eval_runtime": 1.2381,
2173
+ "eval_samples_per_second": 675.232,
2174
+ "step": 2670
2175
+ },
2176
+ {
2177
+ "epoch": 167.5,
2178
+ "eval_loss": 1.4551808834075928,
2179
+ "eval_micro_f1": 0.8026315784464082,
2180
+ "eval_runtime": 1.2946,
2181
+ "eval_samples_per_second": 645.758,
2182
+ "step": 2680
2183
+ },
2184
+ {
2185
+ "epoch": 168.12,
2186
+ "eval_loss": 1.4501805305480957,
2187
+ "eval_micro_f1": 0.8026315784464082,
2188
+ "eval_runtime": 1.2067,
2189
+ "eval_samples_per_second": 692.798,
2190
+ "step": 2690
2191
+ },
2192
+ {
2193
+ "epoch": 168.75,
2194
+ "eval_loss": 1.4495714902877808,
2195
+ "eval_micro_f1": 0.805023922944013,
2196
+ "eval_runtime": 1.2244,
2197
+ "eval_samples_per_second": 682.775,
2198
+ "step": 2700
2199
+ },
2200
+ {
2201
+ "epoch": 169.38,
2202
+ "eval_loss": 1.4503188133239746,
2203
+ "eval_micro_f1": 0.8038277506952107,
2204
+ "eval_runtime": 1.3433,
2205
+ "eval_samples_per_second": 622.326,
2206
+ "step": 2710
2207
+ },
2208
+ {
2209
+ "epoch": 170.0,
2210
+ "eval_loss": 1.4485152959823608,
2211
+ "eval_micro_f1": 0.8062200951928155,
2212
+ "eval_runtime": 1.2481,
2213
+ "eval_samples_per_second": 669.796,
2214
+ "step": 2720
2215
+ },
2216
+ {
2217
+ "epoch": 170.62,
2218
+ "eval_loss": 1.4404151439666748,
2219
+ "eval_micro_f1": 0.8074162674416179,
2220
+ "eval_runtime": 1.1977,
2221
+ "eval_samples_per_second": 698.008,
2222
+ "step": 2730
2223
+ },
2224
+ {
2225
+ "epoch": 171.25,
2226
+ "eval_loss": 1.4550838470458984,
2227
+ "eval_micro_f1": 0.8026315784464082,
2228
+ "eval_runtime": 1.264,
2229
+ "eval_samples_per_second": 661.391,
2230
+ "step": 2740
2231
+ },
2232
+ {
2233
+ "epoch": 171.88,
2234
+ "eval_loss": 1.4467554092407227,
2235
+ "eval_micro_f1": 0.8074162674416179,
2236
+ "eval_runtime": 1.216,
2237
+ "eval_samples_per_second": 687.528,
2238
+ "step": 2750
2239
+ },
2240
+ {
2241
+ "epoch": 172.5,
2242
+ "eval_loss": 1.4552243947982788,
2243
+ "eval_micro_f1": 0.8074162674416179,
2244
+ "eval_runtime": 1.2435,
2245
+ "eval_samples_per_second": 672.314,
2246
+ "step": 2760
2247
+ },
2248
+ {
2249
+ "epoch": 173.12,
2250
+ "eval_loss": 1.456278920173645,
2251
+ "eval_micro_f1": 0.8074162674416179,
2252
+ "eval_runtime": 1.2556,
2253
+ "eval_samples_per_second": 665.823,
2254
+ "step": 2770
2255
+ },
2256
+ {
2257
+ "epoch": 173.75,
2258
+ "eval_loss": 1.4586423635482788,
2259
+ "eval_micro_f1": 0.8074162674416179,
2260
+ "eval_runtime": 1.1702,
2261
+ "eval_samples_per_second": 714.398,
2262
+ "step": 2780
2263
+ },
2264
+ {
2265
+ "epoch": 174.38,
2266
+ "eval_loss": 1.4615603685379028,
2267
+ "eval_micro_f1": 0.8098086119392227,
2268
+ "eval_runtime": 1.2023,
2269
+ "eval_samples_per_second": 695.339,
2270
+ "step": 2790
2271
+ },
2272
+ {
2273
+ "epoch": 175.0,
2274
+ "eval_loss": 1.4521640539169312,
2275
+ "eval_micro_f1": 0.8098086119392227,
2276
+ "eval_runtime": 1.1678,
2277
+ "eval_samples_per_second": 715.881,
2278
+ "step": 2800
2279
+ },
2280
+ {
2281
+ "epoch": 175.62,
2282
+ "eval_loss": 1.459039330482483,
2283
+ "eval_micro_f1": 0.8110047841880251,
2284
+ "eval_runtime": 1.3223,
2285
+ "eval_samples_per_second": 632.225,
2286
+ "step": 2810
2287
+ },
2288
+ {
2289
+ "epoch": 176.25,
2290
+ "eval_loss": 1.4770715236663818,
2291
+ "eval_micro_f1": 0.805023922944013,
2292
+ "eval_runtime": 1.5915,
2293
+ "eval_samples_per_second": 525.283,
2294
+ "step": 2820
2295
+ },
2296
+ {
2297
+ "epoch": 176.88,
2298
+ "eval_loss": 1.4787960052490234,
2299
+ "eval_micro_f1": 0.8038277506952107,
2300
+ "eval_runtime": 0.9666,
2301
+ "eval_samples_per_second": 864.913,
2302
+ "step": 2830
2303
+ },
2304
+ {
2305
+ "epoch": 177.5,
2306
+ "eval_loss": 1.4933847188949585,
2307
+ "eval_micro_f1": 0.8002392339488035,
2308
+ "eval_runtime": 1.1953,
2309
+ "eval_samples_per_second": 699.427,
2310
+ "step": 2840
2311
+ },
2312
+ {
2313
+ "epoch": 178.12,
2314
+ "eval_loss": 1.4820541143417358,
2315
+ "eval_micro_f1": 0.801435406197606,
2316
+ "eval_runtime": 1.2387,
2317
+ "eval_samples_per_second": 674.92,
2318
+ "step": 2850
2319
+ },
2320
+ {
2321
+ "epoch": 178.75,
2322
+ "eval_loss": 1.4721782207489014,
2323
+ "eval_micro_f1": 0.805023922944013,
2324
+ "eval_runtime": 1.2678,
2325
+ "eval_samples_per_second": 659.39,
2326
+ "step": 2860
2327
+ },
2328
+ {
2329
+ "epoch": 179.38,
2330
+ "eval_loss": 1.4754302501678467,
2331
+ "eval_micro_f1": 0.805023922944013,
2332
+ "eval_runtime": 1.2891,
2333
+ "eval_samples_per_second": 648.51,
2334
+ "step": 2870
2335
+ },
2336
+ {
2337
+ "epoch": 180.0,
2338
+ "eval_loss": 1.4293739795684814,
2339
+ "eval_micro_f1": 0.8098086119392227,
2340
+ "eval_runtime": 1.2496,
2341
+ "eval_samples_per_second": 668.995,
2342
+ "step": 2880
2343
+ },
2344
+ {
2345
+ "epoch": 180.62,
2346
+ "eval_loss": 1.4377115964889526,
2347
+ "eval_micro_f1": 0.8098086119392227,
2348
+ "eval_runtime": 1.2049,
2349
+ "eval_samples_per_second": 693.81,
2350
+ "step": 2890
2351
+ },
2352
+ {
2353
+ "epoch": 181.25,
2354
+ "eval_loss": 1.4376572370529175,
2355
+ "eval_micro_f1": 0.8098086119392227,
2356
+ "eval_runtime": 1.2023,
2357
+ "eval_samples_per_second": 695.357,
2358
+ "step": 2900
2359
+ },
2360
+ {
2361
+ "epoch": 181.88,
2362
+ "eval_loss": 1.4372467994689941,
2363
+ "eval_micro_f1": 0.8074162674416179,
2364
+ "eval_runtime": 1.2237,
2365
+ "eval_samples_per_second": 683.176,
2366
+ "step": 2910
2367
+ },
2368
+ {
2369
+ "epoch": 182.5,
2370
+ "eval_loss": 1.442883014678955,
2371
+ "eval_micro_f1": 0.8062200951928155,
2372
+ "eval_runtime": 1.6226,
2373
+ "eval_samples_per_second": 515.219,
2374
+ "step": 2920
2375
+ },
2376
+ {
2377
+ "epoch": 183.12,
2378
+ "eval_loss": 1.531345248222351,
2379
+ "eval_micro_f1": 0.7918660282071867,
2380
+ "eval_runtime": 1.2097,
2381
+ "eval_samples_per_second": 691.06,
2382
+ "step": 2930
2383
+ },
2384
+ {
2385
+ "epoch": 183.75,
2386
+ "eval_loss": 1.5837615728378296,
2387
+ "eval_micro_f1": 0.7858851669631748,
2388
+ "eval_runtime": 0.8758,
2389
+ "eval_samples_per_second": 954.581,
2390
+ "step": 2940
2391
+ },
2392
+ {
2393
+ "epoch": 184.38,
2394
+ "eval_loss": 1.5461186170578003,
2395
+ "eval_micro_f1": 0.7906698559583843,
2396
+ "eval_runtime": 0.9708,
2397
+ "eval_samples_per_second": 861.124,
2398
+ "step": 2950
2399
+ },
2400
+ {
2401
+ "epoch": 185.0,
2402
+ "eval_loss": 1.4445397853851318,
2403
+ "eval_micro_f1": 0.8086124396904203,
2404
+ "eval_runtime": 1.1505,
2405
+ "eval_samples_per_second": 726.643,
2406
+ "step": 2960
2407
+ },
2408
+ {
2409
+ "epoch": 185.62,
2410
+ "eval_loss": 1.4366849660873413,
2411
+ "eval_micro_f1": 0.8062200951928155,
2412
+ "eval_runtime": 1.2172,
2413
+ "eval_samples_per_second": 686.81,
2414
+ "step": 2970
2415
+ },
2416
+ {
2417
+ "epoch": 186.25,
2418
+ "eval_loss": 1.4100123643875122,
2419
+ "eval_micro_f1": 0.8169856454320371,
2420
+ "eval_runtime": 1.3528,
2421
+ "eval_samples_per_second": 617.955,
2422
+ "step": 2980
2423
+ },
2424
+ {
2425
+ "epoch": 186.88,
2426
+ "eval_loss": 1.415737271308899,
2427
+ "eval_micro_f1": 0.8110047841880251,
2428
+ "eval_runtime": 1.3206,
2429
+ "eval_samples_per_second": 633.03,
2430
+ "step": 2990
2431
+ },
2432
+ {
2433
+ "epoch": 187.5,
2434
+ "learning_rate": 3.7500000000000005e-06,
2435
+ "loss": 0.0037,
2436
+ "step": 3000
2437
+ },
2438
+ {
2439
+ "epoch": 187.5,
2440
+ "eval_loss": 1.4148428440093994,
2441
+ "eval_micro_f1": 0.8205741621784443,
2442
+ "eval_runtime": 1.3405,
2443
+ "eval_samples_per_second": 623.635,
2444
+ "step": 3000
2445
+ }
2446
+ ],
2447
+ "max_steps": 4800,
2448
+ "num_train_epochs": 300,
2449
+ "total_flos": 17832540398972616,
2450
+ "trial_name": null,
2451
+ "trial_params": null
2452
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab37931da584e22554fd2ddb026ce42a985ea1518ea9f6a8d61f537770bd08ca
3
+ size 2095
vocab.txt ADDED
The diff for this file is too large to render. See raw diff