Training in progress, step 220000
Browse files- backup-290000/GoNotoCurrent.ttf +3 -0
- backup-290000/config.json +33 -0
- backup-290000/pytorch_model.bin +3 -0
- backup-290000/text_renderer_config.json +168 -0
- backup-290000/trainer_state.json +305 -0
- backup-290000/training_args.bin +3 -0
- pytorch_model.bin +1 -1
- training_args.bin +2 -2
backup-290000/GoNotoCurrent.ttf
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83ab5c39e2b1c34a955136275ce0db068cb20d9643ead033d6b8124a73ab4f64
|
3 |
+
size 15645492
|
backup-290000/config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"PIXELForPreTraining"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.1,
|
6 |
+
"cache_dir": null,
|
7 |
+
"decoder_hidden_size": 512,
|
8 |
+
"decoder_intermediate_size": 2048,
|
9 |
+
"decoder_num_attention_heads": 16,
|
10 |
+
"decoder_num_hidden_layers": 8,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_dropout_prob": 0.1,
|
13 |
+
"hidden_size": 768,
|
14 |
+
"image_size": [
|
15 |
+
16,
|
16 |
+
8464
|
17 |
+
],
|
18 |
+
"initializer_range": 0.02,
|
19 |
+
"intermediate_size": 3072,
|
20 |
+
"layer_norm_eps": 1e-12,
|
21 |
+
"mask_ratio": 0.25,
|
22 |
+
"model_type": "pixel",
|
23 |
+
"norm_pix_loss": true,
|
24 |
+
"num_attention_heads": 12,
|
25 |
+
"num_channels": 3,
|
26 |
+
"num_hidden_layers": 12,
|
27 |
+
"patch_size": 16,
|
28 |
+
"qkv_bias": true,
|
29 |
+
"revision": "main",
|
30 |
+
"torch_dtype": "float32",
|
31 |
+
"transformers_version": "4.17.0",
|
32 |
+
"use_auth_token": false
|
33 |
+
}
|
backup-290000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2e9dcbb20629922bf85067e22faf5d25195f8e035f7d57e5f526ba804954689c
|
3 |
+
size 449474626
|
backup-290000/text_renderer_config.json
ADDED
@@ -0,0 +1,168 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"background_color": "white",
|
3 |
+
"dpi": 120,
|
4 |
+
"font_color": "black",
|
5 |
+
"font_file": "GoNotoCurrent.ttf",
|
6 |
+
"font_size": 8,
|
7 |
+
"fonts_list": [
|
8 |
+
"Abyssinica SIL",
|
9 |
+
"Ani",
|
10 |
+
"AnjaliOldLipi",
|
11 |
+
"Bitstream Vera Sans",
|
12 |
+
"Bitstream Vera Sans Mono",
|
13 |
+
"Bitstream Vera Serif",
|
14 |
+
"C059",
|
15 |
+
"Chandas",
|
16 |
+
"Chilanka",
|
17 |
+
"D050000L",
|
18 |
+
"DejaVu Math TeX Gyre",
|
19 |
+
"DejaVu Sans",
|
20 |
+
"DejaVu Sans Mono",
|
21 |
+
"DejaVu Serif",
|
22 |
+
"Droid Sans Fallback",
|
23 |
+
"Dyuthi",
|
24 |
+
"FreeMono",
|
25 |
+
"FreeSans",
|
26 |
+
"FreeSerif",
|
27 |
+
"Gargi",
|
28 |
+
"Garuda",
|
29 |
+
"Gayathri",
|
30 |
+
"Go Noto Current",
|
31 |
+
"Gubbi",
|
32 |
+
"Inconsolata",
|
33 |
+
"Jamrul",
|
34 |
+
"KacstArt",
|
35 |
+
"KacstBook",
|
36 |
+
"KacstDecorative",
|
37 |
+
"KacstDigital",
|
38 |
+
"KacstFarsi",
|
39 |
+
"KacstLetter",
|
40 |
+
"KacstNaskh",
|
41 |
+
"KacstOffice",
|
42 |
+
"KacstOne",
|
43 |
+
"KacstPen",
|
44 |
+
"KacstPoster",
|
45 |
+
"KacstQurn",
|
46 |
+
"KacstScreen",
|
47 |
+
"KacstTitle",
|
48 |
+
"KacstTitleL",
|
49 |
+
"Kalapi",
|
50 |
+
"Kalimati",
|
51 |
+
"Karumbi",
|
52 |
+
"Keraleeyam",
|
53 |
+
"Khmer OS",
|
54 |
+
"Khmer OS System",
|
55 |
+
"Kinnari",
|
56 |
+
"LKLUG",
|
57 |
+
"Laksaman",
|
58 |
+
"Liberation Mono",
|
59 |
+
"Liberation Sans",
|
60 |
+
"Liberation Sans Narrow",
|
61 |
+
"Liberation Serif",
|
62 |
+
"Likhan",
|
63 |
+
"Lohit Assamese",
|
64 |
+
"Lohit Bengali",
|
65 |
+
"Lohit Devanagari",
|
66 |
+
"Lohit Gujarati",
|
67 |
+
"Lohit Gurmukhi",
|
68 |
+
"Lohit Kannada",
|
69 |
+
"Lohit Malayalam",
|
70 |
+
"Lohit Odia",
|
71 |
+
"Lohit Tamil",
|
72 |
+
"Lohit Tamil Classical",
|
73 |
+
"Lohit Telugu",
|
74 |
+
"Loma",
|
75 |
+
"Manjari",
|
76 |
+
"Meera",
|
77 |
+
"Mitra Mono",
|
78 |
+
"Monospace",
|
79 |
+
"Mukti Narrow",
|
80 |
+
"Nakula",
|
81 |
+
"Navilu",
|
82 |
+
"Nimbus Mono PS",
|
83 |
+
"Nimbus Roman",
|
84 |
+
"Nimbus Sans",
|
85 |
+
"Nimbus Sans Narrow",
|
86 |
+
"Norasi",
|
87 |
+
"Noto Color Emoji",
|
88 |
+
"Noto Mono",
|
89 |
+
"Noto Sans CJK HK",
|
90 |
+
"Noto Sans CJK JP",
|
91 |
+
"Noto Sans CJK KR",
|
92 |
+
"Noto Sans CJK SC",
|
93 |
+
"Noto Sans CJK TC",
|
94 |
+
"Noto Sans Mono CJK HK",
|
95 |
+
"Noto Sans Mono CJK JP",
|
96 |
+
"Noto Sans Mono CJK KR",
|
97 |
+
"Noto Sans Mono CJK SC",
|
98 |
+
"Noto Sans Mono CJK TC",
|
99 |
+
"Noto Serif CJK JP",
|
100 |
+
"Noto Serif CJK KR",
|
101 |
+
"Noto Serif CJK SC",
|
102 |
+
"Noto Serif CJK TC",
|
103 |
+
"OpenSymbol",
|
104 |
+
"P052",
|
105 |
+
"Padauk",
|
106 |
+
"Padauk Book",
|
107 |
+
"Pagul",
|
108 |
+
"Phetsarath OT",
|
109 |
+
"Pothana2000",
|
110 |
+
"Purisa",
|
111 |
+
"Rachana",
|
112 |
+
"RaghuMalayalamSans",
|
113 |
+
"Rasa",
|
114 |
+
"Rekha",
|
115 |
+
"Saab",
|
116 |
+
"Sahadeva",
|
117 |
+
"Samanata",
|
118 |
+
"Samyak Devanagari",
|
119 |
+
"Samyak Gujarati",
|
120 |
+
"Samyak Malayalam",
|
121 |
+
"Samyak Tamil",
|
122 |
+
"Sans",
|
123 |
+
"Sarai",
|
124 |
+
"Sawasdee",
|
125 |
+
"Serif",
|
126 |
+
"Source Code Pro",
|
127 |
+
"Standard Symbols PS",
|
128 |
+
"Suruma",
|
129 |
+
"System-ui",
|
130 |
+
"Tibetan Machine Uni",
|
131 |
+
"Tlwg Mono",
|
132 |
+
"Tlwg Typewriter",
|
133 |
+
"Tlwg Typist",
|
134 |
+
"Tlwg Typo",
|
135 |
+
"URW Bookman",
|
136 |
+
"URW Gothic",
|
137 |
+
"Ubuntu",
|
138 |
+
"Ubuntu Condensed",
|
139 |
+
"Ubuntu Mono",
|
140 |
+
"Umpush",
|
141 |
+
"Uroob",
|
142 |
+
"Vemana2000",
|
143 |
+
"Waree",
|
144 |
+
"Yrsa",
|
145 |
+
"Z003",
|
146 |
+
"aakar",
|
147 |
+
"cmex10",
|
148 |
+
"cmmi10",
|
149 |
+
"cmr10",
|
150 |
+
"cmsy10",
|
151 |
+
"esint10",
|
152 |
+
"eufm10",
|
153 |
+
"mry_KacstQurn",
|
154 |
+
"msam10",
|
155 |
+
"msbm10",
|
156 |
+
"ori1Uni",
|
157 |
+
"padmaa",
|
158 |
+
"padmaa-Bold.1.1",
|
159 |
+
"rsfs10",
|
160 |
+
"stmary10",
|
161 |
+
"wasy10"
|
162 |
+
],
|
163 |
+
"max_seq_length": 529,
|
164 |
+
"pad_size": 3,
|
165 |
+
"pixels_per_patch": 16,
|
166 |
+
"rgb": false,
|
167 |
+
"text_renderer_type": "PangoCairoTextRenderer"
|
168 |
+
}
|
backup-290000/trainer_state.json
ADDED
@@ -0,0 +1,305 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 111.9194180190263,
|
5 |
+
"global_step": 200000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 11.19,
|
12 |
+
"learning_rate": 1.8749999999999998e-06,
|
13 |
+
"loss": 0.8164,
|
14 |
+
"step": 10000
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 11.19,
|
18 |
+
"eval_loss": 0.7568955421447754,
|
19 |
+
"eval_runtime": 301.8174,
|
20 |
+
"eval_samples_per_second": 25.618,
|
21 |
+
"eval_steps_per_second": 1.604,
|
22 |
+
"step": 10000
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"epoch": 22.37,
|
26 |
+
"learning_rate": 3.7499999999999997e-06,
|
27 |
+
"loss": 0.7702,
|
28 |
+
"step": 20000
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 22.37,
|
32 |
+
"eval_loss": 0.7498099207878113,
|
33 |
+
"eval_runtime": 249.204,
|
34 |
+
"eval_samples_per_second": 31.027,
|
35 |
+
"eval_steps_per_second": 1.942,
|
36 |
+
"step": 20000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 33.56,
|
40 |
+
"learning_rate": 5.6249999999999995e-06,
|
41 |
+
"loss": 0.7668,
|
42 |
+
"step": 30000
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 33.56,
|
46 |
+
"eval_loss": 0.7477062344551086,
|
47 |
+
"eval_runtime": 189.0409,
|
48 |
+
"eval_samples_per_second": 40.901,
|
49 |
+
"eval_steps_per_second": 2.56,
|
50 |
+
"step": 30000
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 44.74,
|
54 |
+
"learning_rate": 7.499999999999999e-06,
|
55 |
+
"loss": 0.7655,
|
56 |
+
"step": 40000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 44.74,
|
60 |
+
"eval_loss": 0.7450574040412903,
|
61 |
+
"eval_runtime": 66.2284,
|
62 |
+
"eval_samples_per_second": 116.748,
|
63 |
+
"eval_steps_per_second": 7.308,
|
64 |
+
"step": 40000
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 27.98,
|
68 |
+
"learning_rate": 9.375e-06,
|
69 |
+
"loss": 0.7653,
|
70 |
+
"step": 50000
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 27.98,
|
74 |
+
"eval_loss": 0.7478589415550232,
|
75 |
+
"eval_runtime": 76.5001,
|
76 |
+
"eval_samples_per_second": 101.072,
|
77 |
+
"eval_steps_per_second": 12.641,
|
78 |
+
"step": 50000
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 33.58,
|
82 |
+
"learning_rate": 1.1249999999999999e-05,
|
83 |
+
"loss": 0.7648,
|
84 |
+
"step": 60000
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 33.58,
|
88 |
+
"eval_loss": 0.7447686195373535,
|
89 |
+
"eval_runtime": 76.3539,
|
90 |
+
"eval_samples_per_second": 101.265,
|
91 |
+
"eval_steps_per_second": 12.665,
|
92 |
+
"step": 60000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 39.17,
|
96 |
+
"learning_rate": 1.3124999999999999e-05,
|
97 |
+
"loss": 0.7645,
|
98 |
+
"step": 70000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 39.17,
|
102 |
+
"eval_loss": 0.7464274764060974,
|
103 |
+
"eval_runtime": 76.7958,
|
104 |
+
"eval_samples_per_second": 100.683,
|
105 |
+
"eval_steps_per_second": 12.592,
|
106 |
+
"step": 70000
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 44.77,
|
110 |
+
"learning_rate": 1.4999999999999999e-05,
|
111 |
+
"loss": 0.7642,
|
112 |
+
"step": 80000
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 44.77,
|
116 |
+
"eval_loss": 0.7449608445167542,
|
117 |
+
"eval_runtime": 122.9116,
|
118 |
+
"eval_samples_per_second": 62.907,
|
119 |
+
"eval_steps_per_second": 7.867,
|
120 |
+
"step": 80000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 50.36,
|
124 |
+
"learning_rate": 1.6875e-05,
|
125 |
+
"loss": 0.7636,
|
126 |
+
"step": 90000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 50.36,
|
130 |
+
"eval_loss": 0.7427342534065247,
|
131 |
+
"eval_runtime": 76.4172,
|
132 |
+
"eval_samples_per_second": 101.181,
|
133 |
+
"eval_steps_per_second": 12.654,
|
134 |
+
"step": 90000
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 55.96,
|
138 |
+
"learning_rate": 2e-05,
|
139 |
+
"loss": 0.7602,
|
140 |
+
"step": 100000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 55.96,
|
144 |
+
"eval_loss": 0.726163387298584,
|
145 |
+
"eval_runtime": 76.3938,
|
146 |
+
"eval_samples_per_second": 101.212,
|
147 |
+
"eval_steps_per_second": 12.658,
|
148 |
+
"step": 100000
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 61.56,
|
152 |
+
"learning_rate": 2e-05,
|
153 |
+
"loss": 0.7279,
|
154 |
+
"step": 110000
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 61.56,
|
158 |
+
"eval_loss": 0.6971690654754639,
|
159 |
+
"eval_runtime": 76.7625,
|
160 |
+
"eval_samples_per_second": 100.726,
|
161 |
+
"eval_steps_per_second": 12.597,
|
162 |
+
"step": 110000
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 67.15,
|
166 |
+
"learning_rate": 2e-05,
|
167 |
+
"loss": 0.6981,
|
168 |
+
"step": 120000
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 67.15,
|
172 |
+
"eval_loss": 0.6809367537498474,
|
173 |
+
"eval_runtime": 76.4831,
|
174 |
+
"eval_samples_per_second": 101.094,
|
175 |
+
"eval_steps_per_second": 12.643,
|
176 |
+
"step": 120000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 72.75,
|
180 |
+
"learning_rate": 2e-05,
|
181 |
+
"loss": 0.6781,
|
182 |
+
"step": 130000
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 72.75,
|
186 |
+
"eval_loss": 0.6643149852752686,
|
187 |
+
"eval_runtime": 76.5075,
|
188 |
+
"eval_samples_per_second": 101.062,
|
189 |
+
"eval_steps_per_second": 12.639,
|
190 |
+
"step": 130000
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 78.34,
|
194 |
+
"learning_rate": 2e-05,
|
195 |
+
"loss": 0.6612,
|
196 |
+
"step": 140000
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 78.34,
|
200 |
+
"eval_loss": 0.653438150882721,
|
201 |
+
"eval_runtime": 76.7069,
|
202 |
+
"eval_samples_per_second": 100.799,
|
203 |
+
"eval_steps_per_second": 12.606,
|
204 |
+
"step": 140000
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 83.94,
|
208 |
+
"learning_rate": 2e-05,
|
209 |
+
"loss": 0.6483,
|
210 |
+
"step": 150000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 83.94,
|
214 |
+
"eval_loss": 0.6426078081130981,
|
215 |
+
"eval_runtime": 76.587,
|
216 |
+
"eval_samples_per_second": 100.957,
|
217 |
+
"eval_steps_per_second": 12.626,
|
218 |
+
"step": 150000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 89.54,
|
222 |
+
"learning_rate": 2e-05,
|
223 |
+
"loss": 0.6389,
|
224 |
+
"step": 160000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 89.54,
|
228 |
+
"eval_loss": 0.6356751918792725,
|
229 |
+
"eval_runtime": 76.2962,
|
230 |
+
"eval_samples_per_second": 101.342,
|
231 |
+
"eval_steps_per_second": 12.674,
|
232 |
+
"step": 160000
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 95.13,
|
236 |
+
"learning_rate": 2e-05,
|
237 |
+
"loss": 0.6318,
|
238 |
+
"step": 170000
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 95.13,
|
242 |
+
"eval_loss": 0.6319578289985657,
|
243 |
+
"eval_runtime": 134.8378,
|
244 |
+
"eval_samples_per_second": 57.343,
|
245 |
+
"eval_steps_per_second": 7.172,
|
246 |
+
"step": 170000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 100.73,
|
250 |
+
"learning_rate": 2e-05,
|
251 |
+
"loss": 0.6261,
|
252 |
+
"step": 180000
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 100.73,
|
256 |
+
"eval_loss": 0.6279829740524292,
|
257 |
+
"eval_runtime": 76.2996,
|
258 |
+
"eval_samples_per_second": 101.337,
|
259 |
+
"eval_steps_per_second": 12.674,
|
260 |
+
"step": 180000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 106.32,
|
264 |
+
"learning_rate": 2e-05,
|
265 |
+
"loss": 0.6214,
|
266 |
+
"step": 190000
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 106.32,
|
270 |
+
"eval_loss": 0.6199918389320374,
|
271 |
+
"eval_runtime": 76.2832,
|
272 |
+
"eval_samples_per_second": 101.359,
|
273 |
+
"eval_steps_per_second": 12.676,
|
274 |
+
"step": 190000
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 111.92,
|
278 |
+
"learning_rate": 2e-05,
|
279 |
+
"loss": 0.6177,
|
280 |
+
"step": 200000
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 111.92,
|
284 |
+
"eval_loss": 0.6199995875358582,
|
285 |
+
"eval_runtime": 76.4051,
|
286 |
+
"eval_samples_per_second": 101.197,
|
287 |
+
"eval_steps_per_second": 12.656,
|
288 |
+
"step": 200000
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 111.92,
|
292 |
+
"step": 200000,
|
293 |
+
"total_flos": 1.0512018951481177e+21,
|
294 |
+
"train_loss": 0.5566074145507812,
|
295 |
+
"train_runtime": 84698.4102,
|
296 |
+
"train_samples_per_second": 37.781,
|
297 |
+
"train_steps_per_second": 2.361
|
298 |
+
}
|
299 |
+
],
|
300 |
+
"max_steps": 200000,
|
301 |
+
"num_train_epochs": 112,
|
302 |
+
"total_flos": 1.0512018951481177e+21,
|
303 |
+
"trial_name": null,
|
304 |
+
"trial_params": null
|
305 |
+
}
|
backup-290000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:038e617dff220000f31c4466086e928ab769fb3dea37924e2293e04e7cc1b50e
|
3 |
+
size 3512
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 449474626
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8fe03a0ad7b9683981e4caf01b17bfe2cf452df3b7b9c3116d8e49a92a0dd2a3
|
3 |
size 449474626
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22ae2c800e5a18cc08d55905c495c8e84c79de6592e8c823e6150aa5b70f4654
|
3 |
+
size 3640
|