Upload folder using huggingface_hub
Browse files- all_runs/checkpoint-16075/config.json +78 -0
- all_runs/checkpoint-16075/model.safetensors +3 -0
- all_runs/checkpoint-16075/optimizer.pt +3 -0
- all_runs/checkpoint-16075/rng_state.pth +3 -0
- all_runs/checkpoint-16075/scheduler.pt +3 -0
- all_runs/checkpoint-16075/special_tokens_map.json +19 -0
- all_runs/checkpoint-16075/spiece.model +3 -0
- all_runs/checkpoint-16075/tokenizer_config.json +94 -0
- all_runs/checkpoint-16075/trainer_state.json +761 -0
- all_runs/checkpoint-16075/training_args.bin +3 -0
all_runs/checkpoint-16075/config.json
ADDED
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "xlnet/xlnet-base-cased",
|
3 |
+
"architectures": [
|
4 |
+
"XLNetForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attn_type": "bi",
|
7 |
+
"bi_data": false,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"clamp_len": -1,
|
10 |
+
"d_head": 64,
|
11 |
+
"d_inner": 3072,
|
12 |
+
"d_model": 768,
|
13 |
+
"dropout": 0.1,
|
14 |
+
"end_n_top": 5,
|
15 |
+
"eos_token_id": 2,
|
16 |
+
"ff_activation": "gelu",
|
17 |
+
"id2label": {
|
18 |
+
"0": "Issue",
|
19 |
+
"1": "Court Discourse",
|
20 |
+
"2": "Conclusion",
|
21 |
+
"3": "Precedent Analysis",
|
22 |
+
"4": "Section Analysis",
|
23 |
+
"5": "Argument by Petitioner",
|
24 |
+
"6": "Fact",
|
25 |
+
"7": "Argument by Respondent",
|
26 |
+
"8": "Ratio",
|
27 |
+
"9": "Appellant",
|
28 |
+
"10": "Respondent",
|
29 |
+
"11": "Argument by Appellant",
|
30 |
+
"12": "Petitioner",
|
31 |
+
"13": "Judge",
|
32 |
+
"14": "Argument by Defendant"
|
33 |
+
},
|
34 |
+
"initializer_range": 0.02,
|
35 |
+
"label2id": {
|
36 |
+
"Appellant": 9,
|
37 |
+
"Argument by Appellant": 11,
|
38 |
+
"Argument by Defendant": 14,
|
39 |
+
"Argument by Petitioner": 5,
|
40 |
+
"Argument by Respondent": 7,
|
41 |
+
"Conclusion": 2,
|
42 |
+
"Court Discourse": 1,
|
43 |
+
"Fact": 6,
|
44 |
+
"Issue": 0,
|
45 |
+
"Judge": 13,
|
46 |
+
"Petitioner": 12,
|
47 |
+
"Precedent Analysis": 3,
|
48 |
+
"Ratio": 8,
|
49 |
+
"Respondent": 10,
|
50 |
+
"Section Analysis": 4
|
51 |
+
},
|
52 |
+
"layer_norm_eps": 1e-12,
|
53 |
+
"mem_len": null,
|
54 |
+
"model_type": "xlnet",
|
55 |
+
"n_head": 12,
|
56 |
+
"n_layer": 12,
|
57 |
+
"pad_token_id": 5,
|
58 |
+
"problem_type": "single_label_classification",
|
59 |
+
"reuse_len": null,
|
60 |
+
"same_length": false,
|
61 |
+
"start_n_top": 5,
|
62 |
+
"summary_activation": "tanh",
|
63 |
+
"summary_last_dropout": 0.1,
|
64 |
+
"summary_type": "last",
|
65 |
+
"summary_use_proj": true,
|
66 |
+
"task_specific_params": {
|
67 |
+
"text-generation": {
|
68 |
+
"do_sample": true,
|
69 |
+
"max_length": 250
|
70 |
+
}
|
71 |
+
},
|
72 |
+
"torch_dtype": "float32",
|
73 |
+
"transformers_version": "4.35.2",
|
74 |
+
"untie_r": true,
|
75 |
+
"use_mems_eval": true,
|
76 |
+
"use_mems_train": false,
|
77 |
+
"vocab_size": 32000
|
78 |
+
}
|
all_runs/checkpoint-16075/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cc6bd323cb9b7c1b5656e07e0de82890a4fc497036496eb4c2cba13f7315a2d7
|
3 |
+
size 469304588
|
all_runs/checkpoint-16075/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:952076649d1dd67a7c35307b4fabd426cdddfd404b7c7cffafc5fa287ab20788
|
3 |
+
size 938733178
|
all_runs/checkpoint-16075/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:914bde5588519ab0ee80e3a1b135b90bb893fe981f3778ecf22e4930abea53dc
|
3 |
+
size 14244
|
all_runs/checkpoint-16075/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c35297eb8c2b94ed400596b4d804bddbbc96b04372e361c26c893ce205d20127
|
3 |
+
size 1064
|
all_runs/checkpoint-16075/special_tokens_map.json
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<eop>",
|
4 |
+
"<eod>"
|
5 |
+
],
|
6 |
+
"bos_token": "<s>",
|
7 |
+
"cls_token": "<cls>",
|
8 |
+
"eos_token": "</s>",
|
9 |
+
"mask_token": {
|
10 |
+
"content": "<mask>",
|
11 |
+
"lstrip": true,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<pad>",
|
17 |
+
"sep_token": "<sep>",
|
18 |
+
"unk_token": "<unk>"
|
19 |
+
}
|
all_runs/checkpoint-16075/spiece.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1f8c1c0bc2854d1af911a8550288c1258af5ba50277f3a5c829b98eb86fc5646
|
3 |
+
size 798011
|
all_runs/checkpoint-16075/tokenizer_config.json
ADDED
@@ -0,0 +1,94 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<cls>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"4": {
|
36 |
+
"content": "<sep>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"5": {
|
44 |
+
"content": "<pad>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"6": {
|
52 |
+
"content": "<mask>",
|
53 |
+
"lstrip": true,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"7": {
|
60 |
+
"content": "<eod>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"8": {
|
68 |
+
"content": "<eop>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
}
|
75 |
+
},
|
76 |
+
"additional_special_tokens": [
|
77 |
+
"<eop>",
|
78 |
+
"<eod>"
|
79 |
+
],
|
80 |
+
"bos_token": "<s>",
|
81 |
+
"clean_up_tokenization_spaces": true,
|
82 |
+
"cls_token": "<cls>",
|
83 |
+
"do_lower_case": false,
|
84 |
+
"eos_token": "</s>",
|
85 |
+
"keep_accents": false,
|
86 |
+
"mask_token": "<mask>",
|
87 |
+
"model_max_length": 1000000000000000019884624838656,
|
88 |
+
"pad_token": "<pad>",
|
89 |
+
"remove_space": true,
|
90 |
+
"sep_token": "<sep>",
|
91 |
+
"sp_model_kwargs": {},
|
92 |
+
"tokenizer_class": "XLNetTokenizer",
|
93 |
+
"unk_token": "<unk>"
|
94 |
+
}
|
all_runs/checkpoint-16075/trainer_state.json
ADDED
@@ -0,0 +1,761 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7813861108366882,
|
3 |
+
"best_model_checkpoint": "xlnet-base-cased/checkpoint-12217",
|
4 |
+
"epoch": 25.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 16075,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.78,
|
13 |
+
"learning_rate": 4.871695178849145e-05,
|
14 |
+
"loss": 1.2613,
|
15 |
+
"step": 500
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 1.0,
|
19 |
+
"eval_accuracy": 0.7676219984508134,
|
20 |
+
"eval_f1_macro": 0.4818756771742453,
|
21 |
+
"eval_f1_micro": 0.7676219984508135,
|
22 |
+
"eval_f1_weighted": 0.7524385212708887,
|
23 |
+
"eval_loss": 0.775787353515625,
|
24 |
+
"eval_macro_fpr": 0.022019799606126652,
|
25 |
+
"eval_macro_sensitivity": 0.5128622254580788,
|
26 |
+
"eval_macro_specificity": 0.9823717840367622,
|
27 |
+
"eval_precision": 0.7672637518290021,
|
28 |
+
"eval_precision_macro": 0.5269420024270713,
|
29 |
+
"eval_recall": 0.7676219984508134,
|
30 |
+
"eval_recall_macro": 0.5128622254580788,
|
31 |
+
"eval_runtime": 65.0712,
|
32 |
+
"eval_samples_per_second": 19.84,
|
33 |
+
"eval_steps_per_second": 2.49,
|
34 |
+
"eval_weighted_fpr": 0.021165514321998025,
|
35 |
+
"eval_weighted_sensitivity": 0.7676219984508134,
|
36 |
+
"eval_weighted_specificity": 0.9679547621006213,
|
37 |
+
"step": 643
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 1.56,
|
41 |
+
"learning_rate": 4.7420943494038366e-05,
|
42 |
+
"loss": 0.7364,
|
43 |
+
"step": 1000
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 2.0,
|
47 |
+
"eval_accuracy": 0.8071262587141751,
|
48 |
+
"eval_f1_macro": 0.701878478303997,
|
49 |
+
"eval_f1_micro": 0.8071262587141751,
|
50 |
+
"eval_f1_weighted": 0.8012788916547595,
|
51 |
+
"eval_loss": 0.6754755973815918,
|
52 |
+
"eval_macro_fpr": 0.01739858713969909,
|
53 |
+
"eval_macro_sensitivity": 0.6971761972643127,
|
54 |
+
"eval_macro_specificity": 0.9854830758512745,
|
55 |
+
"eval_precision": 0.8087721671110009,
|
56 |
+
"eval_precision_macro": 0.7425135911700289,
|
57 |
+
"eval_recall": 0.8071262587141751,
|
58 |
+
"eval_recall_macro": 0.6971761972643127,
|
59 |
+
"eval_runtime": 86.774,
|
60 |
+
"eval_samples_per_second": 14.878,
|
61 |
+
"eval_steps_per_second": 1.867,
|
62 |
+
"eval_weighted_fpr": 0.016782368403316036,
|
63 |
+
"eval_weighted_sensitivity": 0.8071262587141751,
|
64 |
+
"eval_weighted_specificity": 0.9751198790549438,
|
65 |
+
"step": 1286
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.33,
|
69 |
+
"learning_rate": 4.612493519958528e-05,
|
70 |
+
"loss": 0.6021,
|
71 |
+
"step": 1500
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 3.0,
|
75 |
+
"eval_accuracy": 0.8063516653756778,
|
76 |
+
"eval_f1_macro": 0.722931923188587,
|
77 |
+
"eval_f1_micro": 0.8063516653756778,
|
78 |
+
"eval_f1_weighted": 0.8013697737227732,
|
79 |
+
"eval_loss": 0.8442708253860474,
|
80 |
+
"eval_macro_fpr": 0.01757802934678216,
|
81 |
+
"eval_macro_sensitivity": 0.7262014539622089,
|
82 |
+
"eval_macro_specificity": 0.9852110484486459,
|
83 |
+
"eval_precision": 0.8016312862866737,
|
84 |
+
"eval_precision_macro": 0.7269969408457856,
|
85 |
+
"eval_recall": 0.8063516653756778,
|
86 |
+
"eval_recall_macro": 0.7262014539622089,
|
87 |
+
"eval_runtime": 89.8454,
|
88 |
+
"eval_samples_per_second": 14.369,
|
89 |
+
"eval_steps_per_second": 1.803,
|
90 |
+
"eval_weighted_fpr": 0.01686454398273071,
|
91 |
+
"eval_weighted_sensitivity": 0.8063516653756778,
|
92 |
+
"eval_weighted_specificity": 0.9718140613540133,
|
93 |
+
"step": 1929
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 3.11,
|
97 |
+
"learning_rate": 4.4828926905132196e-05,
|
98 |
+
"loss": 0.5435,
|
99 |
+
"step": 2000
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 3.89,
|
103 |
+
"learning_rate": 4.353551062726802e-05,
|
104 |
+
"loss": 0.4361,
|
105 |
+
"step": 2500
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 4.0,
|
109 |
+
"eval_accuracy": 0.8001549186676995,
|
110 |
+
"eval_f1_macro": 0.7051095861561788,
|
111 |
+
"eval_f1_micro": 0.8001549186676995,
|
112 |
+
"eval_f1_weighted": 0.7970808578587494,
|
113 |
+
"eval_loss": 0.8849796056747437,
|
114 |
+
"eval_macro_fpr": 0.017973543700983616,
|
115 |
+
"eval_macro_sensitivity": 0.704754303632947,
|
116 |
+
"eval_macro_specificity": 0.984883284344937,
|
117 |
+
"eval_precision": 0.8001040615771999,
|
118 |
+
"eval_precision_macro": 0.716655759638538,
|
119 |
+
"eval_recall": 0.8001549186676995,
|
120 |
+
"eval_recall_macro": 0.704754303632947,
|
121 |
+
"eval_runtime": 88.029,
|
122 |
+
"eval_samples_per_second": 14.666,
|
123 |
+
"eval_steps_per_second": 1.84,
|
124 |
+
"eval_weighted_fpr": 0.017527173913043478,
|
125 |
+
"eval_weighted_sensitivity": 0.8001549186676995,
|
126 |
+
"eval_weighted_specificity": 0.9730943465063553,
|
127 |
+
"step": 2572
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 4.67,
|
131 |
+
"learning_rate": 4.223950233281493e-05,
|
132 |
+
"loss": 0.3359,
|
133 |
+
"step": 3000
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 5.0,
|
137 |
+
"eval_accuracy": 0.801704105344694,
|
138 |
+
"eval_f1_macro": 0.6458763793901992,
|
139 |
+
"eval_f1_micro": 0.801704105344694,
|
140 |
+
"eval_f1_weighted": 0.7961730342415405,
|
141 |
+
"eval_loss": 1.126444935798645,
|
142 |
+
"eval_macro_fpr": 0.01805997413754306,
|
143 |
+
"eval_macro_sensitivity": 0.6681366041180199,
|
144 |
+
"eval_macro_specificity": 0.9849908327913178,
|
145 |
+
"eval_precision": 0.7981459541145973,
|
146 |
+
"eval_precision_macro": 0.6531140613829887,
|
147 |
+
"eval_recall": 0.801704105344694,
|
148 |
+
"eval_recall_macro": 0.6681366041180199,
|
149 |
+
"eval_runtime": 90.8127,
|
150 |
+
"eval_samples_per_second": 14.216,
|
151 |
+
"eval_steps_per_second": 1.784,
|
152 |
+
"eval_weighted_fpr": 0.0173606401736064,
|
153 |
+
"eval_weighted_sensitivity": 0.801704105344694,
|
154 |
+
"eval_weighted_specificity": 0.973158386525071,
|
155 |
+
"step": 3215
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 5.44,
|
159 |
+
"learning_rate": 4.0943494038361847e-05,
|
160 |
+
"loss": 0.2827,
|
161 |
+
"step": 3500
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 6.0,
|
165 |
+
"eval_accuracy": 0.7993803253292022,
|
166 |
+
"eval_f1_macro": 0.7042383323872946,
|
167 |
+
"eval_f1_micro": 0.7993803253292022,
|
168 |
+
"eval_f1_weighted": 0.7951558065494785,
|
169 |
+
"eval_loss": 1.1471006870269775,
|
170 |
+
"eval_macro_fpr": 0.01833120632003448,
|
171 |
+
"eval_macro_sensitivity": 0.692160115457962,
|
172 |
+
"eval_macro_specificity": 0.9845339432297603,
|
173 |
+
"eval_precision": 0.8091520232110664,
|
174 |
+
"eval_precision_macro": 0.7389074945114087,
|
175 |
+
"eval_recall": 0.7993803253292022,
|
176 |
+
"eval_recall_macro": 0.692160115457962,
|
177 |
+
"eval_runtime": 89.506,
|
178 |
+
"eval_samples_per_second": 14.424,
|
179 |
+
"eval_steps_per_second": 1.81,
|
180 |
+
"eval_weighted_fpr": 0.017610661589719183,
|
181 |
+
"eval_weighted_sensitivity": 0.7993803253292022,
|
182 |
+
"eval_weighted_specificity": 0.9686288231172028,
|
183 |
+
"step": 3858
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 6.22,
|
187 |
+
"learning_rate": 3.964748574390876e-05,
|
188 |
+
"loss": 0.2626,
|
189 |
+
"step": 4000
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 7.0,
|
193 |
+
"learning_rate": 3.835147744945568e-05,
|
194 |
+
"loss": 0.1945,
|
195 |
+
"step": 4500
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 7.0,
|
199 |
+
"eval_accuracy": 0.814872192099148,
|
200 |
+
"eval_f1_macro": 0.7667275846579111,
|
201 |
+
"eval_f1_micro": 0.814872192099148,
|
202 |
+
"eval_f1_weighted": 0.812156980007075,
|
203 |
+
"eval_loss": 1.1841164827346802,
|
204 |
+
"eval_macro_fpr": 0.016569799909363286,
|
205 |
+
"eval_macro_sensitivity": 0.7598143558862378,
|
206 |
+
"eval_macro_specificity": 0.9859673331635007,
|
207 |
+
"eval_precision": 0.8128843369221012,
|
208 |
+
"eval_precision_macro": 0.7850186311075981,
|
209 |
+
"eval_recall": 0.814872192099148,
|
210 |
+
"eval_recall_macro": 0.7598143558862378,
|
211 |
+
"eval_runtime": 89.1729,
|
212 |
+
"eval_samples_per_second": 14.477,
|
213 |
+
"eval_steps_per_second": 1.817,
|
214 |
+
"eval_weighted_fpr": 0.015968463954032203,
|
215 |
+
"eval_weighted_sensitivity": 0.814872192099148,
|
216 |
+
"eval_weighted_specificity": 0.974637805353365,
|
217 |
+
"step": 4501
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 7.78,
|
221 |
+
"learning_rate": 3.705546915500259e-05,
|
222 |
+
"loss": 0.1286,
|
223 |
+
"step": 5000
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 8.0,
|
227 |
+
"eval_accuracy": 0.8079008520526724,
|
228 |
+
"eval_f1_macro": 0.728267610383121,
|
229 |
+
"eval_f1_micro": 0.8079008520526724,
|
230 |
+
"eval_f1_weighted": 0.8067061599230408,
|
231 |
+
"eval_loss": 1.3231384754180908,
|
232 |
+
"eval_macro_fpr": 0.01714064720569306,
|
233 |
+
"eval_macro_sensitivity": 0.7216321376051643,
|
234 |
+
"eval_macro_specificity": 0.9855732952526467,
|
235 |
+
"eval_precision": 0.8105008603379217,
|
236 |
+
"eval_precision_macro": 0.763038482726323,
|
237 |
+
"eval_recall": 0.8079008520526724,
|
238 |
+
"eval_recall_macro": 0.7216321376051643,
|
239 |
+
"eval_runtime": 93.4716,
|
240 |
+
"eval_samples_per_second": 13.812,
|
241 |
+
"eval_steps_per_second": 1.733,
|
242 |
+
"eval_weighted_fpr": 0.0167003367003367,
|
243 |
+
"eval_weighted_sensitivity": 0.8079008520526724,
|
244 |
+
"eval_weighted_specificity": 0.9756985767370285,
|
245 |
+
"step": 5144
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 8.55,
|
249 |
+
"learning_rate": 3.576205287713841e-05,
|
250 |
+
"loss": 0.1304,
|
251 |
+
"step": 5500
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 9.0,
|
255 |
+
"eval_accuracy": 0.8102246320681642,
|
256 |
+
"eval_f1_macro": 0.7569552546114842,
|
257 |
+
"eval_f1_micro": 0.8102246320681642,
|
258 |
+
"eval_f1_weighted": 0.808840893500485,
|
259 |
+
"eval_loss": 1.3869109153747559,
|
260 |
+
"eval_macro_fpr": 0.017055465242864547,
|
261 |
+
"eval_macro_sensitivity": 0.7602881393177737,
|
262 |
+
"eval_macro_specificity": 0.9856184320870693,
|
263 |
+
"eval_precision": 0.811846243162855,
|
264 |
+
"eval_precision_macro": 0.7704913288832418,
|
265 |
+
"eval_recall": 0.8102246320681642,
|
266 |
+
"eval_recall_macro": 0.7602881393177737,
|
267 |
+
"eval_runtime": 88.7368,
|
268 |
+
"eval_samples_per_second": 14.549,
|
269 |
+
"eval_steps_per_second": 1.826,
|
270 |
+
"eval_weighted_fpr": 0.016455101081335213,
|
271 |
+
"eval_weighted_sensitivity": 0.8102246320681642,
|
272 |
+
"eval_weighted_specificity": 0.9740518492378762,
|
273 |
+
"step": 5787
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 9.33,
|
277 |
+
"learning_rate": 3.4466044582685334e-05,
|
278 |
+
"loss": 0.0875,
|
279 |
+
"step": 6000
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 10.0,
|
283 |
+
"eval_accuracy": 0.7823392718822618,
|
284 |
+
"eval_f1_macro": 0.7192346851166359,
|
285 |
+
"eval_f1_micro": 0.7823392718822618,
|
286 |
+
"eval_f1_weighted": 0.7816836829450283,
|
287 |
+
"eval_loss": 1.690091609954834,
|
288 |
+
"eval_macro_fpr": 0.01985842187936775,
|
289 |
+
"eval_macro_sensitivity": 0.7020361329217759,
|
290 |
+
"eval_macro_specificity": 0.9833585449617043,
|
291 |
+
"eval_precision": 0.7931868181724199,
|
292 |
+
"eval_precision_macro": 0.7600588253545632,
|
293 |
+
"eval_recall": 0.7823392718822618,
|
294 |
+
"eval_recall_macro": 0.7020361329217759,
|
295 |
+
"eval_runtime": 88.4203,
|
296 |
+
"eval_samples_per_second": 14.601,
|
297 |
+
"eval_steps_per_second": 1.832,
|
298 |
+
"eval_weighted_fpr": 0.019485472574717427,
|
299 |
+
"eval_weighted_sensitivity": 0.7823392718822618,
|
300 |
+
"eval_weighted_specificity": 0.9680389025433043,
|
301 |
+
"step": 6430
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 10.11,
|
305 |
+
"learning_rate": 3.317003628823225e-05,
|
306 |
+
"loss": 0.1088,
|
307 |
+
"step": 6500
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 10.89,
|
311 |
+
"learning_rate": 3.187402799377916e-05,
|
312 |
+
"loss": 0.1075,
|
313 |
+
"step": 7000
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 11.0,
|
317 |
+
"eval_accuracy": 0.7978311386522076,
|
318 |
+
"eval_f1_macro": 0.7470393699186935,
|
319 |
+
"eval_f1_micro": 0.7978311386522076,
|
320 |
+
"eval_f1_weighted": 0.793529238632398,
|
321 |
+
"eval_loss": 1.6517162322998047,
|
322 |
+
"eval_macro_fpr": 0.01832601410957563,
|
323 |
+
"eval_macro_sensitivity": 0.7566567183934103,
|
324 |
+
"eval_macro_specificity": 0.9849074579220182,
|
325 |
+
"eval_precision": 0.8021421826960871,
|
326 |
+
"eval_precision_macro": 0.7513026067404466,
|
327 |
+
"eval_recall": 0.7978311386522076,
|
328 |
+
"eval_recall_macro": 0.7566567183934103,
|
329 |
+
"eval_runtime": 91.1007,
|
330 |
+
"eval_samples_per_second": 14.171,
|
331 |
+
"eval_steps_per_second": 1.778,
|
332 |
+
"eval_weighted_fpr": 0.017778080512226686,
|
333 |
+
"eval_weighted_sensitivity": 0.7978311386522076,
|
334 |
+
"eval_weighted_specificity": 0.9757807301780667,
|
335 |
+
"step": 7073
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 11.66,
|
339 |
+
"learning_rate": 3.057801969932608e-05,
|
340 |
+
"loss": 0.0632,
|
341 |
+
"step": 7500
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 12.0,
|
345 |
+
"eval_accuracy": 0.814872192099148,
|
346 |
+
"eval_f1_macro": 0.7706785605409691,
|
347 |
+
"eval_f1_micro": 0.814872192099148,
|
348 |
+
"eval_f1_weighted": 0.814999517133868,
|
349 |
+
"eval_loss": 1.528985857963562,
|
350 |
+
"eval_macro_fpr": 0.016687805753048134,
|
351 |
+
"eval_macro_sensitivity": 0.7772039784617947,
|
352 |
+
"eval_macro_specificity": 0.9859096029272495,
|
353 |
+
"eval_precision": 0.8184480381747821,
|
354 |
+
"eval_precision_macro": 0.7745990994843823,
|
355 |
+
"eval_recall": 0.814872192099148,
|
356 |
+
"eval_recall_macro": 0.7772039784617947,
|
357 |
+
"eval_runtime": 89.9659,
|
358 |
+
"eval_samples_per_second": 14.35,
|
359 |
+
"eval_steps_per_second": 1.801,
|
360 |
+
"eval_weighted_fpr": 0.015968463954032203,
|
361 |
+
"eval_weighted_sensitivity": 0.814872192099148,
|
362 |
+
"eval_weighted_specificity": 0.9737718518095959,
|
363 |
+
"step": 7716
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 12.44,
|
367 |
+
"learning_rate": 2.92846034214619e-05,
|
368 |
+
"loss": 0.0565,
|
369 |
+
"step": 8000
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 13.0,
|
373 |
+
"eval_accuracy": 0.8063516653756778,
|
374 |
+
"eval_f1_macro": 0.7536745391279389,
|
375 |
+
"eval_f1_micro": 0.8063516653756778,
|
376 |
+
"eval_f1_weighted": 0.806105583642158,
|
377 |
+
"eval_loss": 1.5766452550888062,
|
378 |
+
"eval_macro_fpr": 0.017353934865295607,
|
379 |
+
"eval_macro_sensitivity": 0.7627918284863161,
|
380 |
+
"eval_macro_specificity": 0.9855508104644062,
|
381 |
+
"eval_precision": 0.8106650569621797,
|
382 |
+
"eval_precision_macro": 0.7527919670677403,
|
383 |
+
"eval_recall": 0.8063516653756778,
|
384 |
+
"eval_recall_macro": 0.7627918284863161,
|
385 |
+
"eval_runtime": 87.0044,
|
386 |
+
"eval_samples_per_second": 14.838,
|
387 |
+
"eval_steps_per_second": 1.862,
|
388 |
+
"eval_weighted_fpr": 0.01686454398273071,
|
389 |
+
"eval_weighted_sensitivity": 0.8063516653756778,
|
390 |
+
"eval_weighted_specificity": 0.9769104915904122,
|
391 |
+
"step": 8359
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 13.22,
|
395 |
+
"learning_rate": 2.7988595127008814e-05,
|
396 |
+
"loss": 0.0611,
|
397 |
+
"step": 8500
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 14.0,
|
401 |
+
"learning_rate": 2.669258683255573e-05,
|
402 |
+
"loss": 0.0504,
|
403 |
+
"step": 9000
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 14.0,
|
407 |
+
"eval_accuracy": 0.8048024786986832,
|
408 |
+
"eval_f1_macro": 0.7553476960817118,
|
409 |
+
"eval_f1_micro": 0.804802478698683,
|
410 |
+
"eval_f1_weighted": 0.8045680080251187,
|
411 |
+
"eval_loss": 1.754842758178711,
|
412 |
+
"eval_macro_fpr": 0.0173894746246557,
|
413 |
+
"eval_macro_sensitivity": 0.7701954697850913,
|
414 |
+
"eval_macro_specificity": 0.9854203302407508,
|
415 |
+
"eval_precision": 0.8100370206947073,
|
416 |
+
"eval_precision_macro": 0.7569340956810083,
|
417 |
+
"eval_recall": 0.8048024786986832,
|
418 |
+
"eval_recall_macro": 0.7701954697850913,
|
419 |
+
"eval_runtime": 87.2595,
|
420 |
+
"eval_samples_per_second": 14.795,
|
421 |
+
"eval_steps_per_second": 1.857,
|
422 |
+
"eval_weighted_fpr": 0.017029328287606435,
|
423 |
+
"eval_weighted_sensitivity": 0.8048024786986832,
|
424 |
+
"eval_weighted_specificity": 0.9765024749125794,
|
425 |
+
"step": 9002
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 14.77,
|
429 |
+
"learning_rate": 2.5396578538102643e-05,
|
430 |
+
"loss": 0.0295,
|
431 |
+
"step": 9500
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 15.0,
|
435 |
+
"eval_accuracy": 0.8102246320681642,
|
436 |
+
"eval_f1_macro": 0.760967233946951,
|
437 |
+
"eval_f1_micro": 0.8102246320681642,
|
438 |
+
"eval_f1_weighted": 0.8140816963742711,
|
439 |
+
"eval_loss": 1.7570178508758545,
|
440 |
+
"eval_macro_fpr": 0.016848493530959043,
|
441 |
+
"eval_macro_sensitivity": 0.7610604622194231,
|
442 |
+
"eval_macro_specificity": 0.9858148957915706,
|
443 |
+
"eval_precision": 0.8226139584587638,
|
444 |
+
"eval_precision_macro": 0.7705404207703173,
|
445 |
+
"eval_recall": 0.8102246320681642,
|
446 |
+
"eval_recall_macro": 0.7610604622194231,
|
447 |
+
"eval_runtime": 89.5369,
|
448 |
+
"eval_samples_per_second": 14.419,
|
449 |
+
"eval_steps_per_second": 1.809,
|
450 |
+
"eval_weighted_fpr": 0.016455101081335213,
|
451 |
+
"eval_weighted_sensitivity": 0.8102246320681642,
|
452 |
+
"eval_weighted_specificity": 0.9769988048053938,
|
453 |
+
"step": 9645
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 15.55,
|
457 |
+
"learning_rate": 2.410057024364956e-05,
|
458 |
+
"loss": 0.0338,
|
459 |
+
"step": 10000
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 16.0,
|
463 |
+
"eval_accuracy": 0.8109992254066615,
|
464 |
+
"eval_f1_macro": 0.7612941688912773,
|
465 |
+
"eval_f1_micro": 0.8109992254066615,
|
466 |
+
"eval_f1_weighted": 0.8100237367109931,
|
467 |
+
"eval_loss": 1.7394386529922485,
|
468 |
+
"eval_macro_fpr": 0.0167552939703591,
|
469 |
+
"eval_macro_sensitivity": 0.7659323423256559,
|
470 |
+
"eval_macro_specificity": 0.9858976267005801,
|
471 |
+
"eval_precision": 0.8138390585578686,
|
472 |
+
"eval_precision_macro": 0.7638742891195117,
|
473 |
+
"eval_recall": 0.8109992254066615,
|
474 |
+
"eval_recall_macro": 0.7659323423256559,
|
475 |
+
"eval_runtime": 88.2753,
|
476 |
+
"eval_samples_per_second": 14.625,
|
477 |
+
"eval_steps_per_second": 1.835,
|
478 |
+
"eval_weighted_fpr": 0.016373641121997046,
|
479 |
+
"eval_weighted_sensitivity": 0.8109992254066615,
|
480 |
+
"eval_weighted_specificity": 0.9774651751020407,
|
481 |
+
"step": 10288
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 16.33,
|
485 |
+
"learning_rate": 2.2807153965785383e-05,
|
486 |
+
"loss": 0.0444,
|
487 |
+
"step": 10500
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 17.0,
|
491 |
+
"eval_accuracy": 0.8117738187451587,
|
492 |
+
"eval_f1_macro": 0.7457173379536453,
|
493 |
+
"eval_f1_micro": 0.8117738187451587,
|
494 |
+
"eval_f1_weighted": 0.8129470595277309,
|
495 |
+
"eval_loss": 1.7974809408187866,
|
496 |
+
"eval_macro_fpr": 0.016811586751854603,
|
497 |
+
"eval_macro_sensitivity": 0.7609908124543953,
|
498 |
+
"eval_macro_specificity": 0.9859494204465505,
|
499 |
+
"eval_precision": 0.8200630062296891,
|
500 |
+
"eval_precision_macro": 0.7510908703409428,
|
501 |
+
"eval_recall": 0.8117738187451587,
|
502 |
+
"eval_recall_macro": 0.7609908124543953,
|
503 |
+
"eval_runtime": 92.8836,
|
504 |
+
"eval_samples_per_second": 13.899,
|
505 |
+
"eval_steps_per_second": 1.744,
|
506 |
+
"eval_weighted_fpr": 0.016292323164599398,
|
507 |
+
"eval_weighted_sensitivity": 0.8117738187451587,
|
508 |
+
"eval_weighted_specificity": 0.9774674879531003,
|
509 |
+
"step": 10931
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 17.11,
|
513 |
+
"learning_rate": 2.1511145671332298e-05,
|
514 |
+
"loss": 0.017,
|
515 |
+
"step": 11000
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 17.88,
|
519 |
+
"learning_rate": 2.0215137376879212e-05,
|
520 |
+
"loss": 0.0397,
|
521 |
+
"step": 11500
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 18.0,
|
525 |
+
"eval_accuracy": 0.814872192099148,
|
526 |
+
"eval_f1_macro": 0.7553030972375019,
|
527 |
+
"eval_f1_micro": 0.814872192099148,
|
528 |
+
"eval_f1_weighted": 0.8129982672337318,
|
529 |
+
"eval_loss": 1.692070722579956,
|
530 |
+
"eval_macro_fpr": 0.01648801618238916,
|
531 |
+
"eval_macro_sensitivity": 0.7854174817784654,
|
532 |
+
"eval_macro_specificity": 0.986188960440481,
|
533 |
+
"eval_precision": 0.8203469277405308,
|
534 |
+
"eval_precision_macro": 0.7540048119736065,
|
535 |
+
"eval_recall": 0.814872192099148,
|
536 |
+
"eval_recall_macro": 0.7854174817784654,
|
537 |
+
"eval_runtime": 89.1118,
|
538 |
+
"eval_samples_per_second": 14.487,
|
539 |
+
"eval_steps_per_second": 1.818,
|
540 |
+
"eval_weighted_fpr": 0.015968463954032203,
|
541 |
+
"eval_weighted_sensitivity": 0.814872192099148,
|
542 |
+
"eval_weighted_specificity": 0.9779622145080659,
|
543 |
+
"step": 11574
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 18.66,
|
547 |
+
"learning_rate": 1.891912908242613e-05,
|
548 |
+
"loss": 0.0356,
|
549 |
+
"step": 12000
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 19.0,
|
553 |
+
"eval_accuracy": 0.8272656855151046,
|
554 |
+
"eval_f1_macro": 0.7813861108366882,
|
555 |
+
"eval_f1_micro": 0.8272656855151046,
|
556 |
+
"eval_f1_weighted": 0.826538691051554,
|
557 |
+
"eval_loss": 1.6908154487609863,
|
558 |
+
"eval_macro_fpr": 0.01519208147936786,
|
559 |
+
"eval_macro_sensitivity": 0.7991667789217406,
|
560 |
+
"eval_macro_specificity": 0.9870458274462965,
|
561 |
+
"eval_precision": 0.8307223507185943,
|
562 |
+
"eval_precision_macro": 0.7763966212643805,
|
563 |
+
"eval_recall": 0.8272656855151046,
|
564 |
+
"eval_recall_macro": 0.7991667789217406,
|
565 |
+
"eval_runtime": 87.1936,
|
566 |
+
"eval_samples_per_second": 14.806,
|
567 |
+
"eval_steps_per_second": 1.858,
|
568 |
+
"eval_weighted_fpr": 0.014695222405271829,
|
569 |
+
"eval_weighted_sensitivity": 0.8272656855151046,
|
570 |
+
"eval_weighted_specificity": 0.9784217261793432,
|
571 |
+
"step": 12217
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 19.44,
|
575 |
+
"learning_rate": 1.7623120787973045e-05,
|
576 |
+
"loss": 0.0306,
|
577 |
+
"step": 12500
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 20.0,
|
581 |
+
"eval_accuracy": 0.8179705654531371,
|
582 |
+
"eval_f1_macro": 0.7619799923440557,
|
583 |
+
"eval_f1_micro": 0.817970565453137,
|
584 |
+
"eval_f1_weighted": 0.8165762317081299,
|
585 |
+
"eval_loss": 1.8374216556549072,
|
586 |
+
"eval_macro_fpr": 0.016177559752434546,
|
587 |
+
"eval_macro_sensitivity": 0.7756239390284622,
|
588 |
+
"eval_macro_specificity": 0.9863402294201706,
|
589 |
+
"eval_precision": 0.8207768510844915,
|
590 |
+
"eval_precision_macro": 0.7634613762524876,
|
591 |
+
"eval_recall": 0.8179705654531371,
|
592 |
+
"eval_recall_macro": 0.7756239390284622,
|
593 |
+
"eval_runtime": 90.845,
|
594 |
+
"eval_samples_per_second": 14.211,
|
595 |
+
"eval_steps_per_second": 1.783,
|
596 |
+
"eval_weighted_fpr": 0.01564684732671949,
|
597 |
+
"eval_weighted_sensitivity": 0.8179705654531371,
|
598 |
+
"eval_weighted_specificity": 0.9771328758494231,
|
599 |
+
"step": 12860
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 20.22,
|
603 |
+
"learning_rate": 1.6329704510108863e-05,
|
604 |
+
"loss": 0.0212,
|
605 |
+
"step": 13000
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 21.0,
|
609 |
+
"learning_rate": 1.5033696215655781e-05,
|
610 |
+
"loss": 0.0234,
|
611 |
+
"step": 13500
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 21.0,
|
615 |
+
"eval_accuracy": 0.8195197521301317,
|
616 |
+
"eval_f1_macro": 0.7713314772989432,
|
617 |
+
"eval_f1_micro": 0.8195197521301317,
|
618 |
+
"eval_f1_weighted": 0.8173803797431164,
|
619 |
+
"eval_loss": 1.7737590074539185,
|
620 |
+
"eval_macro_fpr": 0.016026463371050827,
|
621 |
+
"eval_macro_sensitivity": 0.7602260272694004,
|
622 |
+
"eval_macro_specificity": 0.986365365175067,
|
623 |
+
"eval_precision": 0.8184750402268075,
|
624 |
+
"eval_precision_macro": 0.7946623933037265,
|
625 |
+
"eval_recall": 0.8195197521301317,
|
626 |
+
"eval_recall_macro": 0.7602260272694004,
|
627 |
+
"eval_runtime": 91.8609,
|
628 |
+
"eval_samples_per_second": 14.054,
|
629 |
+
"eval_steps_per_second": 1.764,
|
630 |
+
"eval_weighted_fpr": 0.01548687271518777,
|
631 |
+
"eval_weighted_sensitivity": 0.8195197521301317,
|
632 |
+
"eval_weighted_specificity": 0.9759607254958742,
|
633 |
+
"step": 13503
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 21.77,
|
637 |
+
"learning_rate": 1.3737687921202696e-05,
|
638 |
+
"loss": 0.0091,
|
639 |
+
"step": 14000
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 22.0,
|
643 |
+
"eval_accuracy": 0.8171959721146398,
|
644 |
+
"eval_f1_macro": 0.7654257885617937,
|
645 |
+
"eval_f1_micro": 0.8171959721146398,
|
646 |
+
"eval_f1_weighted": 0.8142875910554035,
|
647 |
+
"eval_loss": 1.8536922931671143,
|
648 |
+
"eval_macro_fpr": 0.01629310015159196,
|
649 |
+
"eval_macro_sensitivity": 0.764643422315937,
|
650 |
+
"eval_macro_specificity": 0.9862407504253736,
|
651 |
+
"eval_precision": 0.8166701024955205,
|
652 |
+
"eval_precision_macro": 0.7732430914536168,
|
653 |
+
"eval_recall": 0.8171959721146398,
|
654 |
+
"eval_recall_macro": 0.764643422315937,
|
655 |
+
"eval_runtime": 90.6571,
|
656 |
+
"eval_samples_per_second": 14.24,
|
657 |
+
"eval_steps_per_second": 1.787,
|
658 |
+
"eval_weighted_fpr": 0.015727042516326804,
|
659 |
+
"eval_weighted_sensitivity": 0.8171959721146398,
|
660 |
+
"eval_weighted_specificity": 0.9764152842659637,
|
661 |
+
"step": 14146
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 22.55,
|
665 |
+
"learning_rate": 1.2441679626749613e-05,
|
666 |
+
"loss": 0.0138,
|
667 |
+
"step": 14500
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 23.0,
|
671 |
+
"eval_accuracy": 0.8102246320681642,
|
672 |
+
"eval_f1_macro": 0.7625345023789766,
|
673 |
+
"eval_f1_micro": 0.8102246320681642,
|
674 |
+
"eval_f1_weighted": 0.8125053880007282,
|
675 |
+
"eval_loss": 1.8306434154510498,
|
676 |
+
"eval_macro_fpr": 0.016736134303170593,
|
677 |
+
"eval_macro_sensitivity": 0.756885195214288,
|
678 |
+
"eval_macro_specificity": 0.9857279908699159,
|
679 |
+
"eval_precision": 0.8173023805599954,
|
680 |
+
"eval_precision_macro": 0.7728935893141891,
|
681 |
+
"eval_recall": 0.8102246320681642,
|
682 |
+
"eval_recall_macro": 0.756885195214288,
|
683 |
+
"eval_runtime": 90.427,
|
684 |
+
"eval_samples_per_second": 14.277,
|
685 |
+
"eval_steps_per_second": 1.792,
|
686 |
+
"eval_weighted_fpr": 0.016455101081335213,
|
687 |
+
"eval_weighted_sensitivity": 0.8102246320681642,
|
688 |
+
"eval_weighted_specificity": 0.9756952309805736,
|
689 |
+
"step": 14789
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 23.33,
|
693 |
+
"learning_rate": 1.1145671332296527e-05,
|
694 |
+
"loss": 0.0213,
|
695 |
+
"step": 15000
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 24.0,
|
699 |
+
"eval_accuracy": 0.8125484120836561,
|
700 |
+
"eval_f1_macro": 0.7621751729607458,
|
701 |
+
"eval_f1_micro": 0.8125484120836561,
|
702 |
+
"eval_f1_weighted": 0.8115038090694412,
|
703 |
+
"eval_loss": 1.9362603425979614,
|
704 |
+
"eval_macro_fpr": 0.01683702461756531,
|
705 |
+
"eval_macro_sensitivity": 0.7540395774984562,
|
706 |
+
"eval_macro_specificity": 0.9857620549754743,
|
707 |
+
"eval_precision": 0.8149135580816148,
|
708 |
+
"eval_precision_macro": 0.7776678366951572,
|
709 |
+
"eval_recall": 0.8125484120836561,
|
710 |
+
"eval_recall_macro": 0.7540395774984562,
|
711 |
+
"eval_runtime": 88.263,
|
712 |
+
"eval_samples_per_second": 14.627,
|
713 |
+
"eval_steps_per_second": 1.835,
|
714 |
+
"eval_weighted_fpr": 0.016211146838156484,
|
715 |
+
"eval_weighted_sensitivity": 0.8125484120836561,
|
716 |
+
"eval_weighted_specificity": 0.9738824125484591,
|
717 |
+
"step": 15432
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 24.11,
|
721 |
+
"learning_rate": 9.849663037843444e-06,
|
722 |
+
"loss": 0.0093,
|
723 |
+
"step": 15500
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 24.88,
|
727 |
+
"learning_rate": 8.553654743390357e-06,
|
728 |
+
"loss": 0.0034,
|
729 |
+
"step": 16000
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 25.0,
|
733 |
+
"eval_accuracy": 0.8156467854376452,
|
734 |
+
"eval_f1_macro": 0.7657175740645626,
|
735 |
+
"eval_f1_micro": 0.8156467854376452,
|
736 |
+
"eval_f1_weighted": 0.8146604455620535,
|
737 |
+
"eval_loss": 1.9551670551300049,
|
738 |
+
"eval_macro_fpr": 0.016486620997243625,
|
739 |
+
"eval_macro_sensitivity": 0.7583153569803489,
|
740 |
+
"eval_macro_specificity": 0.9859786977080429,
|
741 |
+
"eval_precision": 0.8179068770261545,
|
742 |
+
"eval_precision_macro": 0.784269104280255,
|
743 |
+
"eval_recall": 0.8156467854376452,
|
744 |
+
"eval_recall_macro": 0.7583153569803489,
|
745 |
+
"eval_runtime": 88.1618,
|
746 |
+
"eval_samples_per_second": 14.644,
|
747 |
+
"eval_steps_per_second": 1.838,
|
748 |
+
"eval_weighted_fpr": 0.01588785046728972,
|
749 |
+
"eval_weighted_sensitivity": 0.8156467854376452,
|
750 |
+
"eval_weighted_specificity": 0.9740336801829997,
|
751 |
+
"step": 16075
|
752 |
+
}
|
753 |
+
],
|
754 |
+
"logging_steps": 500,
|
755 |
+
"max_steps": 19290,
|
756 |
+
"num_train_epochs": 30,
|
757 |
+
"save_steps": 500,
|
758 |
+
"total_flos": 3.65968167086592e+16,
|
759 |
+
"trial_name": null,
|
760 |
+
"trial_params": null
|
761 |
+
}
|
all_runs/checkpoint-16075/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec20e9f8adfcfee3337ee75e60d11aa0228a2bd24494baa212e8cd20722381d4
|
3 |
+
size 4600
|