alexshengzhili
commited on
Commit
•
cbef7e0
1
Parent(s):
a1c4796
Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +26 -0
- adapter_model.bin +3 -0
- config.json +45 -0
- non_lora_trainables.bin +3 -0
- trainer_state.json +493 -0
README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "./checkpoints/llava-v1.5-13b",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 256,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 128,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"up_proj",
|
18 |
+
"q_proj",
|
19 |
+
"o_proj",
|
20 |
+
"down_proj",
|
21 |
+
"v_proj",
|
22 |
+
"k_proj",
|
23 |
+
"gate_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:578fd1ea49f26e2c27b0070f46a7f2b67d623e5580b8581b8ad1d9d1c3d3005f
|
3 |
+
size 1001584333
|
config.json
ADDED
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "./checkpoints/llava-v1.5-13b",
|
3 |
+
"architectures": [
|
4 |
+
"LlavaLlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"bos_token_id": 1,
|
7 |
+
"eos_token_id": 2,
|
8 |
+
"freeze_mm_mlp_adapter": false,
|
9 |
+
"freeze_mm_vision_resampler": false,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 5120,
|
12 |
+
"image_aspect_ratio": "pad",
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 13824,
|
15 |
+
"max_length": 4096,
|
16 |
+
"max_position_embeddings": 4096,
|
17 |
+
"mm_hidden_size": 1024,
|
18 |
+
"mm_projector_lr": 2e-05,
|
19 |
+
"mm_projector_type": "mlp2x_gelu",
|
20 |
+
"mm_resampler_type": null,
|
21 |
+
"mm_use_im_patch_token": false,
|
22 |
+
"mm_use_im_start_end": false,
|
23 |
+
"mm_vision_select_feature": "patch",
|
24 |
+
"mm_vision_select_layer": -2,
|
25 |
+
"mm_vision_tower": "openai/clip-vit-large-patch14-336",
|
26 |
+
"model_type": "llava",
|
27 |
+
"num_attention_heads": 40,
|
28 |
+
"num_hidden_layers": 40,
|
29 |
+
"num_key_value_heads": 40,
|
30 |
+
"pad_token_id": 0,
|
31 |
+
"pretraining_tp": 1,
|
32 |
+
"rms_norm_eps": 1e-05,
|
33 |
+
"rope_scaling": null,
|
34 |
+
"tie_word_embeddings": false,
|
35 |
+
"tokenizer_model_max_length": 2048,
|
36 |
+
"tokenizer_padding_side": "right",
|
37 |
+
"torch_dtype": "float16",
|
38 |
+
"transformers_version": "4.31.0",
|
39 |
+
"tune_mm_mlp_adapter": false,
|
40 |
+
"tune_mm_vision_resampler": false,
|
41 |
+
"unfreeze_mm_vision_tower": false,
|
42 |
+
"use_cache": true,
|
43 |
+
"use_mm_proj": true,
|
44 |
+
"vocab_size": 32000
|
45 |
+
}
|
non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c2d67d2a1da533bf002c4744e434d52e8f72174af2c4144f9549ba3807899b67
|
3 |
+
size 62936807
|
trainer_state.json
ADDED
@@ -0,0 +1,493 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.9433962264150946,
|
5 |
+
"global_step": 78,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.04,
|
12 |
+
"learning_rate": 0.00013333333333333334,
|
13 |
+
"loss": 1.5444,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.08,
|
18 |
+
"learning_rate": 0.0002666666666666667,
|
19 |
+
"loss": 1.543,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.11,
|
24 |
+
"learning_rate": 0.0004,
|
25 |
+
"loss": 1.3151,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.15,
|
30 |
+
"learning_rate": 0.0003998245660197717,
|
31 |
+
"loss": 1.2922,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.19,
|
36 |
+
"learning_rate": 0.0003992985718499009,
|
37 |
+
"loss": 1.1978,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.23,
|
42 |
+
"learning_rate": 0.0003984229402628956,
|
43 |
+
"loss": 1.1409,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.26,
|
48 |
+
"learning_rate": 0.000397199207414101,
|
49 |
+
"loss": 1.1181,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.3,
|
54 |
+
"learning_rate": 0.00039562952014676116,
|
55 |
+
"loss": 1.1124,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.34,
|
60 |
+
"learning_rate": 0.0003937166322257262,
|
61 |
+
"loss": 1.0952,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.38,
|
66 |
+
"learning_rate": 0.00039146389950641346,
|
67 |
+
"loss": 1.0885,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.42,
|
72 |
+
"learning_rate": 0.00038887527404749624,
|
73 |
+
"loss": 1.0787,
|
74 |
+
"step": 11
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.45,
|
78 |
+
"learning_rate": 0.00038595529717765027,
|
79 |
+
"loss": 1.0854,
|
80 |
+
"step": 12
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.49,
|
84 |
+
"learning_rate": 0.0003827090915285202,
|
85 |
+
"loss": 1.0807,
|
86 |
+
"step": 13
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.53,
|
90 |
+
"learning_rate": 0.0003791423520478826,
|
91 |
+
"loss": 1.055,
|
92 |
+
"step": 14
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.57,
|
96 |
+
"learning_rate": 0.0003752613360087727,
|
97 |
+
"loss": 1.056,
|
98 |
+
"step": 15
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.6,
|
102 |
+
"learning_rate": 0.00037107285203210135,
|
103 |
+
"loss": 1.0526,
|
104 |
+
"step": 16
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.64,
|
108 |
+
"learning_rate": 0.0003665842481420199,
|
109 |
+
"loss": 1.0693,
|
110 |
+
"step": 17
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.68,
|
114 |
+
"learning_rate": 0.0003618033988749895,
|
115 |
+
"loss": 1.0471,
|
116 |
+
"step": 18
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.72,
|
120 |
+
"learning_rate": 0.000356738691465168,
|
121 |
+
"loss": 1.0356,
|
122 |
+
"step": 19
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.75,
|
126 |
+
"learning_rate": 0.0003513990111303513,
|
127 |
+
"loss": 1.0433,
|
128 |
+
"step": 20
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.79,
|
132 |
+
"learning_rate": 0.00034579372548428235,
|
133 |
+
"loss": 1.0463,
|
134 |
+
"step": 21
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.83,
|
138 |
+
"learning_rate": 0.0003399326681026731,
|
139 |
+
"loss": 1.0564,
|
140 |
+
"step": 22
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.87,
|
144 |
+
"learning_rate": 0.00033382612127177166,
|
145 |
+
"loss": 1.0391,
|
146 |
+
"step": 23
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.91,
|
150 |
+
"learning_rate": 0.000327484797949738,
|
151 |
+
"loss": 1.035,
|
152 |
+
"step": 24
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.94,
|
156 |
+
"learning_rate": 0.000320919822972475,
|
157 |
+
"loss": 1.0371,
|
158 |
+
"step": 25
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.98,
|
162 |
+
"learning_rate": 0.0003141427135368864,
|
163 |
+
"loss": 1.0296,
|
164 |
+
"step": 26
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.02,
|
168 |
+
"learning_rate": 0.0003071653589957993,
|
169 |
+
"loss": 0.93,
|
170 |
+
"step": 27
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.06,
|
174 |
+
"learning_rate": 0.00030000000000000003,
|
175 |
+
"loss": 0.9064,
|
176 |
+
"step": 28
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 1.09,
|
180 |
+
"learning_rate": 0.00029265920702397236,
|
181 |
+
"loss": 0.904,
|
182 |
+
"step": 29
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 1.13,
|
186 |
+
"learning_rate": 0.00028515585831301456,
|
187 |
+
"loss": 0.893,
|
188 |
+
"step": 30
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.17,
|
192 |
+
"learning_rate": 0.0002775031172904206,
|
193 |
+
"loss": 0.8945,
|
194 |
+
"step": 31
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 1.21,
|
198 |
+
"learning_rate": 0.0002697144094643631,
|
199 |
+
"loss": 0.8945,
|
200 |
+
"step": 32
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 1.25,
|
204 |
+
"learning_rate": 0.00026180339887498953,
|
205 |
+
"loss": 0.8792,
|
206 |
+
"step": 33
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.28,
|
210 |
+
"learning_rate": 0.00025378396412305314,
|
211 |
+
"loss": 0.8908,
|
212 |
+
"step": 34
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.32,
|
216 |
+
"learning_rate": 0.00024567017402213115,
|
217 |
+
"loss": 0.8892,
|
218 |
+
"step": 35
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 1.36,
|
222 |
+
"learning_rate": 0.00023747626291714498,
|
223 |
+
"loss": 0.8754,
|
224 |
+
"step": 36
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.4,
|
228 |
+
"learning_rate": 0.00022921660571248236,
|
229 |
+
"loss": 0.8414,
|
230 |
+
"step": 37
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 1.43,
|
234 |
+
"learning_rate": 0.00022090569265353072,
|
235 |
+
"loss": 0.8629,
|
236 |
+
"step": 38
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 1.47,
|
240 |
+
"learning_rate": 0.0002125581039058627,
|
241 |
+
"loss": 0.8653,
|
242 |
+
"step": 39
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.51,
|
246 |
+
"learning_rate": 0.0002041884839766714,
|
247 |
+
"loss": 0.8702,
|
248 |
+
"step": 40
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.55,
|
252 |
+
"learning_rate": 0.00019581151602332864,
|
253 |
+
"loss": 0.8799,
|
254 |
+
"step": 41
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.58,
|
258 |
+
"learning_rate": 0.00018744189609413734,
|
259 |
+
"loss": 0.8628,
|
260 |
+
"step": 42
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 1.62,
|
264 |
+
"learning_rate": 0.00017909430734646935,
|
265 |
+
"loss": 0.8751,
|
266 |
+
"step": 43
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 1.66,
|
270 |
+
"learning_rate": 0.0001707833942875177,
|
271 |
+
"loss": 0.8683,
|
272 |
+
"step": 44
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 1.7,
|
276 |
+
"learning_rate": 0.00016252373708285504,
|
277 |
+
"loss": 0.8522,
|
278 |
+
"step": 45
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 1.74,
|
282 |
+
"learning_rate": 0.00015432982597786884,
|
283 |
+
"loss": 0.8431,
|
284 |
+
"step": 46
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.77,
|
288 |
+
"learning_rate": 0.00014621603587694688,
|
289 |
+
"loss": 0.8575,
|
290 |
+
"step": 47
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 1.81,
|
294 |
+
"learning_rate": 0.00013819660112501054,
|
295 |
+
"loss": 0.8612,
|
296 |
+
"step": 48
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.85,
|
300 |
+
"learning_rate": 0.000130285590535637,
|
301 |
+
"loss": 0.8791,
|
302 |
+
"step": 49
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 1.89,
|
306 |
+
"learning_rate": 0.0001224968827095794,
|
307 |
+
"loss": 0.8104,
|
308 |
+
"step": 50
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 1.92,
|
312 |
+
"learning_rate": 0.00011484414168698547,
|
313 |
+
"loss": 0.8223,
|
314 |
+
"step": 51
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 1.96,
|
318 |
+
"learning_rate": 0.00010734079297602771,
|
319 |
+
"loss": 0.8642,
|
320 |
+
"step": 52
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 2.0,
|
324 |
+
"learning_rate": 0.00010000000000000005,
|
325 |
+
"loss": 0.7986,
|
326 |
+
"step": 53
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 2.04,
|
330 |
+
"learning_rate": 9.283464100420063e-05,
|
331 |
+
"loss": 0.7106,
|
332 |
+
"step": 54
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 2.08,
|
336 |
+
"learning_rate": 8.585728646311369e-05,
|
337 |
+
"loss": 0.7073,
|
338 |
+
"step": 55
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 2.11,
|
342 |
+
"learning_rate": 7.908017702752504e-05,
|
343 |
+
"loss": 0.7,
|
344 |
+
"step": 56
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 2.15,
|
348 |
+
"learning_rate": 7.251520205026205e-05,
|
349 |
+
"loss": 0.7022,
|
350 |
+
"step": 57
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 2.19,
|
354 |
+
"learning_rate": 6.617387872822842e-05,
|
355 |
+
"loss": 0.6812,
|
356 |
+
"step": 58
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 2.23,
|
360 |
+
"learning_rate": 6.0067331897326895e-05,
|
361 |
+
"loss": 0.6941,
|
362 |
+
"step": 59
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 2.26,
|
366 |
+
"learning_rate": 5.4206274515717736e-05,
|
367 |
+
"loss": 0.6749,
|
368 |
+
"step": 60
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 2.3,
|
372 |
+
"learning_rate": 4.8600988869648745e-05,
|
373 |
+
"loss": 0.6833,
|
374 |
+
"step": 61
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 2.34,
|
378 |
+
"learning_rate": 4.326130853483206e-05,
|
379 |
+
"loss": 0.6684,
|
380 |
+
"step": 62
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 2.38,
|
384 |
+
"learning_rate": 3.819660112501053e-05,
|
385 |
+
"loss": 0.6482,
|
386 |
+
"step": 63
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 2.42,
|
390 |
+
"learning_rate": 3.3415751857980115e-05,
|
391 |
+
"loss": 0.6638,
|
392 |
+
"step": 64
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 2.45,
|
396 |
+
"learning_rate": 2.8927147967898682e-05,
|
397 |
+
"loss": 0.6586,
|
398 |
+
"step": 65
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 2.49,
|
402 |
+
"learning_rate": 2.473866399122733e-05,
|
403 |
+
"loss": 0.6709,
|
404 |
+
"step": 66
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 2.53,
|
408 |
+
"learning_rate": 2.085764795211742e-05,
|
409 |
+
"loss": 0.6518,
|
410 |
+
"step": 67
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 2.57,
|
414 |
+
"learning_rate": 1.7290908471479805e-05,
|
415 |
+
"loss": 0.6567,
|
416 |
+
"step": 68
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 2.6,
|
420 |
+
"learning_rate": 1.4044702822349731e-05,
|
421 |
+
"loss": 0.678,
|
422 |
+
"step": 69
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 2.64,
|
426 |
+
"learning_rate": 1.1124725952503801e-05,
|
427 |
+
"loss": 0.6848,
|
428 |
+
"step": 70
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 2.68,
|
432 |
+
"learning_rate": 8.536100493586552e-06,
|
433 |
+
"loss": 0.6601,
|
434 |
+
"step": 71
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 2.72,
|
438 |
+
"learning_rate": 6.283367774273785e-06,
|
439 |
+
"loss": 0.6749,
|
440 |
+
"step": 72
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 2.75,
|
444 |
+
"learning_rate": 4.370479853238863e-06,
|
445 |
+
"loss": 0.6864,
|
446 |
+
"step": 73
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 2.79,
|
450 |
+
"learning_rate": 2.800792585899026e-06,
|
451 |
+
"loss": 0.6621,
|
452 |
+
"step": 74
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 2.83,
|
456 |
+
"learning_rate": 1.577059737104447e-06,
|
457 |
+
"loss": 0.6514,
|
458 |
+
"step": 75
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 2.87,
|
462 |
+
"learning_rate": 7.01428150099126e-07,
|
463 |
+
"loss": 0.6516,
|
464 |
+
"step": 76
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 2.91,
|
468 |
+
"learning_rate": 1.7543398022832336e-07,
|
469 |
+
"loss": 0.6504,
|
470 |
+
"step": 77
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 2.94,
|
474 |
+
"learning_rate": 0.0,
|
475 |
+
"loss": 0.6665,
|
476 |
+
"step": 78
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 2.94,
|
480 |
+
"step": 78,
|
481 |
+
"total_flos": 183654252937216.0,
|
482 |
+
"train_loss": 0.8923629743930621,
|
483 |
+
"train_runtime": 2340.4996,
|
484 |
+
"train_samples_per_second": 4.275,
|
485 |
+
"train_steps_per_second": 0.033
|
486 |
+
}
|
487 |
+
],
|
488 |
+
"max_steps": 78,
|
489 |
+
"num_train_epochs": 3,
|
490 |
+
"total_flos": 183654252937216.0,
|
491 |
+
"trial_name": null,
|
492 |
+
"trial_params": null
|
493 |
+
}
|