Upload folder using huggingface_hub
Browse files- README.md +26 -0
- checkpoint-1500/config.json +34 -0
- checkpoint-1500/model.safetensors +3 -0
- checkpoint-1500/optimizer.pt +3 -0
- checkpoint-1500/rng_state_0.pth +3 -0
- checkpoint-1500/rng_state_1.pth +3 -0
- checkpoint-1500/scheduler.pt +3 -0
- checkpoint-1500/trainer_state.json +527 -0
- checkpoint-1500/training_args.bin +3 -0
- config.json +34 -0
- model.safetensors +3 -0
- runs/Oct16_08-32-42_bora-Lambda-Vector/events.out.tfevents.1729092764.bora-Lambda-Vector.174839.0 +2 -2
- runs/Oct16_08-32-42_bora-Lambda-Vector/events.out.tfevents.1729093158.bora-Lambda-Vector.174839.1 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- training_params.json +30 -0
- vocab.txt +0 -0
README.md
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- text-regression
|
6 |
+
base_model: google-bert/bert-base-uncased
|
7 |
+
widget:
|
8 |
+
- text: "I love AutoTrain"
|
9 |
+
---
|
10 |
+
|
11 |
+
# Model Trained Using AutoTrain
|
12 |
+
|
13 |
+
- Problem type: Text Regression
|
14 |
+
|
15 |
+
## Validation Metrics
|
16 |
+
loss: 2.2920706272125244
|
17 |
+
|
18 |
+
mse: 2.2920706272125244
|
19 |
+
|
20 |
+
mae: 1.1123970746994019
|
21 |
+
|
22 |
+
r2: 0.6393013000488281
|
23 |
+
|
24 |
+
rmse: 1.5139585733413696
|
25 |
+
|
26 |
+
explained_variance: 0.6458940505981445
|
checkpoint-1500/config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
3 |
+
"_num_labels": 1,
|
4 |
+
"architectures": [
|
5 |
+
"BertForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"gradient_checkpointing": false,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "target"
|
15 |
+
},
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 3072,
|
18 |
+
"label2id": {
|
19 |
+
"target": 0
|
20 |
+
},
|
21 |
+
"layer_norm_eps": 1e-12,
|
22 |
+
"max_position_embeddings": 512,
|
23 |
+
"model_type": "bert",
|
24 |
+
"num_attention_heads": 12,
|
25 |
+
"num_hidden_layers": 12,
|
26 |
+
"pad_token_id": 0,
|
27 |
+
"position_embedding_type": "absolute",
|
28 |
+
"problem_type": "regression",
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.45.0",
|
31 |
+
"type_vocab_size": 2,
|
32 |
+
"use_cache": true,
|
33 |
+
"vocab_size": 30522
|
34 |
+
}
|
checkpoint-1500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1862d3955c239cb3f081e5e1b53d030f3f6760b01d41356300e021e0c23febdb
|
3 |
+
size 437955572
|
checkpoint-1500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b874950a91f0b9da307abe0fcd3d5fbb427c3d74e2faca0d5badfc058f876505
|
3 |
+
size 876032250
|
checkpoint-1500/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b07c8c37eda8d4f006603379d98896d7f6fb80cfa6a33f933a25a186688c527
|
3 |
+
size 14512
|
checkpoint-1500/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a41a93e1d02f1b71112a369dc7db970bdf0188cb2e67bf98341f57f7fbe850c3
|
3 |
+
size 14512
|
checkpoint-1500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3e36dcf1406cb6f00a5fd59306778a22c04dd6d71ae69be82989a2e1ddc7d018
|
3 |
+
size 1064
|
checkpoint-1500/trainer_state.json
ADDED
@@ -0,0 +1,527 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 2.2920706272125244,
|
3 |
+
"best_model_checkpoint": "QaagiFilter3/checkpoint-1500",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.08333333333333333,
|
13 |
+
"grad_norm": 203.57440185546875,
|
14 |
+
"learning_rate": 3.166666666666667e-06,
|
15 |
+
"loss": 27.8593,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.16666666666666666,
|
20 |
+
"grad_norm": 163.1396484375,
|
21 |
+
"learning_rate": 7.333333333333334e-06,
|
22 |
+
"loss": 23.387,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.25,
|
27 |
+
"grad_norm": 81.33038330078125,
|
28 |
+
"learning_rate": 1.1500000000000002e-05,
|
29 |
+
"loss": 13.9295,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.3333333333333333,
|
34 |
+
"grad_norm": 33.5482292175293,
|
35 |
+
"learning_rate": 1.5666666666666667e-05,
|
36 |
+
"loss": 7.7122,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.4166666666666667,
|
41 |
+
"grad_norm": 36.23005676269531,
|
42 |
+
"learning_rate": 1.9833333333333335e-05,
|
43 |
+
"loss": 5.0666,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.5,
|
48 |
+
"grad_norm": 36.48677444458008,
|
49 |
+
"learning_rate": 2.4e-05,
|
50 |
+
"loss": 3.9894,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.5833333333333334,
|
55 |
+
"grad_norm": 74.38584899902344,
|
56 |
+
"learning_rate": 2.816666666666667e-05,
|
57 |
+
"loss": 3.8645,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.6666666666666666,
|
62 |
+
"grad_norm": 49.025814056396484,
|
63 |
+
"learning_rate": 3.233333333333333e-05,
|
64 |
+
"loss": 3.9696,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.75,
|
69 |
+
"grad_norm": 50.01852798461914,
|
70 |
+
"learning_rate": 3.65e-05,
|
71 |
+
"loss": 3.283,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.8333333333333334,
|
76 |
+
"grad_norm": 37.934364318847656,
|
77 |
+
"learning_rate": 4.066666666666667e-05,
|
78 |
+
"loss": 3.735,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.9166666666666666,
|
83 |
+
"grad_norm": 92.65830993652344,
|
84 |
+
"learning_rate": 4.483333333333333e-05,
|
85 |
+
"loss": 3.4056,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.0,
|
90 |
+
"grad_norm": 70.39775085449219,
|
91 |
+
"learning_rate": 4.9e-05,
|
92 |
+
"loss": 4.1434,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.0,
|
97 |
+
"eval_explained_variance": 0.484250545501709,
|
98 |
+
"eval_loss": 3.7199275493621826,
|
99 |
+
"eval_mae": 1.5320930480957031,
|
100 |
+
"eval_mse": 3.7199275493621826,
|
101 |
+
"eval_r2": 0.41460227966308594,
|
102 |
+
"eval_rmse": 1.9287114143371582,
|
103 |
+
"eval_runtime": 1.4061,
|
104 |
+
"eval_samples_per_second": 853.43,
|
105 |
+
"eval_steps_per_second": 27.025,
|
106 |
+
"step": 300
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 1.0833333333333333,
|
110 |
+
"grad_norm": 72.37615203857422,
|
111 |
+
"learning_rate": 4.964814814814815e-05,
|
112 |
+
"loss": 2.8186,
|
113 |
+
"step": 325
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.1666666666666667,
|
117 |
+
"grad_norm": 36.7435417175293,
|
118 |
+
"learning_rate": 4.918518518518519e-05,
|
119 |
+
"loss": 2.6416,
|
120 |
+
"step": 350
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 1.25,
|
124 |
+
"grad_norm": 43.16706848144531,
|
125 |
+
"learning_rate": 4.8722222222222224e-05,
|
126 |
+
"loss": 2.2014,
|
127 |
+
"step": 375
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 1.3333333333333333,
|
131 |
+
"grad_norm": 35.85356521606445,
|
132 |
+
"learning_rate": 4.825925925925926e-05,
|
133 |
+
"loss": 2.344,
|
134 |
+
"step": 400
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.4166666666666667,
|
138 |
+
"grad_norm": 38.85523986816406,
|
139 |
+
"learning_rate": 4.77962962962963e-05,
|
140 |
+
"loss": 2.3029,
|
141 |
+
"step": 425
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 1.5,
|
145 |
+
"grad_norm": 40.83808135986328,
|
146 |
+
"learning_rate": 4.7333333333333336e-05,
|
147 |
+
"loss": 2.5387,
|
148 |
+
"step": 450
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 1.5833333333333335,
|
152 |
+
"grad_norm": 73.15798950195312,
|
153 |
+
"learning_rate": 4.687037037037037e-05,
|
154 |
+
"loss": 2.2528,
|
155 |
+
"step": 475
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.6666666666666665,
|
159 |
+
"grad_norm": 32.92269515991211,
|
160 |
+
"learning_rate": 4.640740740740741e-05,
|
161 |
+
"loss": 2.1096,
|
162 |
+
"step": 500
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 1.75,
|
166 |
+
"grad_norm": 37.778804779052734,
|
167 |
+
"learning_rate": 4.594444444444444e-05,
|
168 |
+
"loss": 2.4907,
|
169 |
+
"step": 525
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 1.8333333333333335,
|
173 |
+
"grad_norm": 35.420013427734375,
|
174 |
+
"learning_rate": 4.548148148148149e-05,
|
175 |
+
"loss": 2.3215,
|
176 |
+
"step": 550
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 1.9166666666666665,
|
180 |
+
"grad_norm": 42.403602600097656,
|
181 |
+
"learning_rate": 4.501851851851852e-05,
|
182 |
+
"loss": 2.0804,
|
183 |
+
"step": 575
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 2.0,
|
187 |
+
"grad_norm": 71.63874053955078,
|
188 |
+
"learning_rate": 4.4555555555555555e-05,
|
189 |
+
"loss": 2.304,
|
190 |
+
"step": 600
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 2.0,
|
194 |
+
"eval_explained_variance": 0.6256482601165771,
|
195 |
+
"eval_loss": 2.3827290534973145,
|
196 |
+
"eval_mae": 1.163964867591858,
|
197 |
+
"eval_mse": 2.3827288150787354,
|
198 |
+
"eval_r2": 0.6250346302986145,
|
199 |
+
"eval_rmse": 1.5436090230941772,
|
200 |
+
"eval_runtime": 1.4029,
|
201 |
+
"eval_samples_per_second": 855.399,
|
202 |
+
"eval_steps_per_second": 27.088,
|
203 |
+
"step": 600
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 2.0833333333333335,
|
207 |
+
"grad_norm": 19.71274757385254,
|
208 |
+
"learning_rate": 4.4092592592592595e-05,
|
209 |
+
"loss": 1.2565,
|
210 |
+
"step": 625
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 2.1666666666666665,
|
214 |
+
"grad_norm": 31.47469711303711,
|
215 |
+
"learning_rate": 4.3629629629629635e-05,
|
216 |
+
"loss": 1.2529,
|
217 |
+
"step": 650
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 2.25,
|
221 |
+
"grad_norm": 23.2291259765625,
|
222 |
+
"learning_rate": 4.316666666666667e-05,
|
223 |
+
"loss": 1.2316,
|
224 |
+
"step": 675
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.3333333333333335,
|
228 |
+
"grad_norm": 46.9771614074707,
|
229 |
+
"learning_rate": 4.270370370370371e-05,
|
230 |
+
"loss": 0.9652,
|
231 |
+
"step": 700
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 2.4166666666666665,
|
235 |
+
"grad_norm": 28.63280487060547,
|
236 |
+
"learning_rate": 4.224074074074074e-05,
|
237 |
+
"loss": 1.0859,
|
238 |
+
"step": 725
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 2.5,
|
242 |
+
"grad_norm": 40.56156921386719,
|
243 |
+
"learning_rate": 4.177777777777778e-05,
|
244 |
+
"loss": 1.0052,
|
245 |
+
"step": 750
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 2.5833333333333335,
|
249 |
+
"grad_norm": 53.79902267456055,
|
250 |
+
"learning_rate": 4.131481481481482e-05,
|
251 |
+
"loss": 1.1899,
|
252 |
+
"step": 775
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 2.6666666666666665,
|
256 |
+
"grad_norm": 40.577327728271484,
|
257 |
+
"learning_rate": 4.0851851851851853e-05,
|
258 |
+
"loss": 0.8368,
|
259 |
+
"step": 800
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 2.75,
|
263 |
+
"grad_norm": 53.498016357421875,
|
264 |
+
"learning_rate": 4.038888888888889e-05,
|
265 |
+
"loss": 0.8995,
|
266 |
+
"step": 825
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.8333333333333335,
|
270 |
+
"grad_norm": 23.701671600341797,
|
271 |
+
"learning_rate": 3.9925925925925926e-05,
|
272 |
+
"loss": 1.0837,
|
273 |
+
"step": 850
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 2.9166666666666665,
|
277 |
+
"grad_norm": 39.308101654052734,
|
278 |
+
"learning_rate": 3.946296296296296e-05,
|
279 |
+
"loss": 0.9715,
|
280 |
+
"step": 875
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 3.0,
|
284 |
+
"grad_norm": 47.296966552734375,
|
285 |
+
"learning_rate": 3.9000000000000006e-05,
|
286 |
+
"loss": 1.3128,
|
287 |
+
"step": 900
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 3.0,
|
291 |
+
"eval_explained_variance": 0.6129987239837646,
|
292 |
+
"eval_loss": 2.6801981925964355,
|
293 |
+
"eval_mae": 1.1843883991241455,
|
294 |
+
"eval_mse": 2.6801979541778564,
|
295 |
+
"eval_r2": 0.5782225131988525,
|
296 |
+
"eval_rmse": 1.6371309757232666,
|
297 |
+
"eval_runtime": 1.3833,
|
298 |
+
"eval_samples_per_second": 867.517,
|
299 |
+
"eval_steps_per_second": 27.471,
|
300 |
+
"step": 900
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 3.0833333333333335,
|
304 |
+
"grad_norm": 27.515487670898438,
|
305 |
+
"learning_rate": 3.853703703703704e-05,
|
306 |
+
"loss": 0.5462,
|
307 |
+
"step": 925
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 3.1666666666666665,
|
311 |
+
"grad_norm": 27.193992614746094,
|
312 |
+
"learning_rate": 3.807407407407408e-05,
|
313 |
+
"loss": 0.6948,
|
314 |
+
"step": 950
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 3.25,
|
318 |
+
"grad_norm": 32.09097671508789,
|
319 |
+
"learning_rate": 3.761111111111111e-05,
|
320 |
+
"loss": 0.6207,
|
321 |
+
"step": 975
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 3.3333333333333335,
|
325 |
+
"grad_norm": 20.979494094848633,
|
326 |
+
"learning_rate": 3.714814814814815e-05,
|
327 |
+
"loss": 0.6791,
|
328 |
+
"step": 1000
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 3.4166666666666665,
|
332 |
+
"grad_norm": 22.093290328979492,
|
333 |
+
"learning_rate": 3.668518518518519e-05,
|
334 |
+
"loss": 0.6075,
|
335 |
+
"step": 1025
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 3.5,
|
339 |
+
"grad_norm": 24.52804183959961,
|
340 |
+
"learning_rate": 3.6222222222222225e-05,
|
341 |
+
"loss": 0.796,
|
342 |
+
"step": 1050
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 3.5833333333333335,
|
346 |
+
"grad_norm": 13.169271469116211,
|
347 |
+
"learning_rate": 3.575925925925926e-05,
|
348 |
+
"loss": 0.5455,
|
349 |
+
"step": 1075
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 3.6666666666666665,
|
353 |
+
"grad_norm": 23.37912368774414,
|
354 |
+
"learning_rate": 3.52962962962963e-05,
|
355 |
+
"loss": 0.5924,
|
356 |
+
"step": 1100
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 3.75,
|
360 |
+
"grad_norm": 23.409942626953125,
|
361 |
+
"learning_rate": 3.483333333333334e-05,
|
362 |
+
"loss": 0.5839,
|
363 |
+
"step": 1125
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 3.8333333333333335,
|
367 |
+
"grad_norm": 14.830960273742676,
|
368 |
+
"learning_rate": 3.437037037037037e-05,
|
369 |
+
"loss": 0.6003,
|
370 |
+
"step": 1150
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 3.9166666666666665,
|
374 |
+
"grad_norm": 29.192399978637695,
|
375 |
+
"learning_rate": 3.390740740740741e-05,
|
376 |
+
"loss": 0.5715,
|
377 |
+
"step": 1175
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 4.0,
|
381 |
+
"grad_norm": 19.0704402923584,
|
382 |
+
"learning_rate": 3.3444444444444443e-05,
|
383 |
+
"loss": 0.632,
|
384 |
+
"step": 1200
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 4.0,
|
388 |
+
"eval_explained_variance": 0.6389033794403076,
|
389 |
+
"eval_loss": 2.541696071624756,
|
390 |
+
"eval_mae": 1.168035864830017,
|
391 |
+
"eval_mse": 2.541696071624756,
|
392 |
+
"eval_r2": 0.6000182628631592,
|
393 |
+
"eval_rmse": 1.5942697525024414,
|
394 |
+
"eval_runtime": 1.4053,
|
395 |
+
"eval_samples_per_second": 853.915,
|
396 |
+
"eval_steps_per_second": 27.041,
|
397 |
+
"step": 1200
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 4.083333333333333,
|
401 |
+
"grad_norm": 10.236458778381348,
|
402 |
+
"learning_rate": 3.298148148148148e-05,
|
403 |
+
"loss": 0.3609,
|
404 |
+
"step": 1225
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 4.166666666666667,
|
408 |
+
"grad_norm": 15.39724349975586,
|
409 |
+
"learning_rate": 3.251851851851852e-05,
|
410 |
+
"loss": 0.3721,
|
411 |
+
"step": 1250
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 4.25,
|
415 |
+
"grad_norm": 16.447935104370117,
|
416 |
+
"learning_rate": 3.2055555555555556e-05,
|
417 |
+
"loss": 0.3554,
|
418 |
+
"step": 1275
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 4.333333333333333,
|
422 |
+
"grad_norm": 10.421647071838379,
|
423 |
+
"learning_rate": 3.1592592592592596e-05,
|
424 |
+
"loss": 0.4262,
|
425 |
+
"step": 1300
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 4.416666666666667,
|
429 |
+
"grad_norm": 15.514717102050781,
|
430 |
+
"learning_rate": 3.112962962962963e-05,
|
431 |
+
"loss": 0.4036,
|
432 |
+
"step": 1325
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 4.5,
|
436 |
+
"grad_norm": 9.377070426940918,
|
437 |
+
"learning_rate": 3.066666666666667e-05,
|
438 |
+
"loss": 0.3811,
|
439 |
+
"step": 1350
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 4.583333333333333,
|
443 |
+
"grad_norm": 12.767688751220703,
|
444 |
+
"learning_rate": 3.0203703703703705e-05,
|
445 |
+
"loss": 0.4501,
|
446 |
+
"step": 1375
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 4.666666666666667,
|
450 |
+
"grad_norm": 20.651182174682617,
|
451 |
+
"learning_rate": 2.9740740740740742e-05,
|
452 |
+
"loss": 0.3876,
|
453 |
+
"step": 1400
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 4.75,
|
457 |
+
"grad_norm": 10.500899314880371,
|
458 |
+
"learning_rate": 2.927777777777778e-05,
|
459 |
+
"loss": 0.3856,
|
460 |
+
"step": 1425
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 4.833333333333333,
|
464 |
+
"grad_norm": 11.204659461975098,
|
465 |
+
"learning_rate": 2.8814814814814818e-05,
|
466 |
+
"loss": 0.4262,
|
467 |
+
"step": 1450
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 4.916666666666667,
|
471 |
+
"grad_norm": 26.508119583129883,
|
472 |
+
"learning_rate": 2.835185185185185e-05,
|
473 |
+
"loss": 0.4429,
|
474 |
+
"step": 1475
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 5.0,
|
478 |
+
"grad_norm": 23.41118621826172,
|
479 |
+
"learning_rate": 2.788888888888889e-05,
|
480 |
+
"loss": 0.3862,
|
481 |
+
"step": 1500
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 5.0,
|
485 |
+
"eval_explained_variance": 0.6458940505981445,
|
486 |
+
"eval_loss": 2.2920706272125244,
|
487 |
+
"eval_mae": 1.1123970746994019,
|
488 |
+
"eval_mse": 2.2920706272125244,
|
489 |
+
"eval_r2": 0.6393013000488281,
|
490 |
+
"eval_rmse": 1.5139585733413696,
|
491 |
+
"eval_runtime": 1.386,
|
492 |
+
"eval_samples_per_second": 865.825,
|
493 |
+
"eval_steps_per_second": 27.418,
|
494 |
+
"step": 1500
|
495 |
+
}
|
496 |
+
],
|
497 |
+
"logging_steps": 25,
|
498 |
+
"max_steps": 3000,
|
499 |
+
"num_input_tokens_seen": 0,
|
500 |
+
"num_train_epochs": 10,
|
501 |
+
"save_steps": 500,
|
502 |
+
"stateful_callbacks": {
|
503 |
+
"EarlyStoppingCallback": {
|
504 |
+
"args": {
|
505 |
+
"early_stopping_patience": 5,
|
506 |
+
"early_stopping_threshold": 0.01
|
507 |
+
},
|
508 |
+
"attributes": {
|
509 |
+
"early_stopping_patience_counter": 0
|
510 |
+
}
|
511 |
+
},
|
512 |
+
"TrainerControl": {
|
513 |
+
"args": {
|
514 |
+
"should_epoch_stop": false,
|
515 |
+
"should_evaluate": false,
|
516 |
+
"should_log": false,
|
517 |
+
"should_save": true,
|
518 |
+
"should_training_stop": false
|
519 |
+
},
|
520 |
+
"attributes": {}
|
521 |
+
}
|
522 |
+
},
|
523 |
+
"total_flos": 1578652139520000.0,
|
524 |
+
"train_batch_size": 8,
|
525 |
+
"trial_name": null,
|
526 |
+
"trial_params": null
|
527 |
+
}
|
checkpoint-1500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:78430683b6ede99522478a9b4b76c6f8811dd22f6166dd46ff939c9f1f9a0432
|
3 |
+
size 5240
|
config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
3 |
+
"_num_labels": 1,
|
4 |
+
"architectures": [
|
5 |
+
"BertForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.1,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"gradient_checkpointing": false,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "target"
|
15 |
+
},
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 3072,
|
18 |
+
"label2id": {
|
19 |
+
"target": 0
|
20 |
+
},
|
21 |
+
"layer_norm_eps": 1e-12,
|
22 |
+
"max_position_embeddings": 512,
|
23 |
+
"model_type": "bert",
|
24 |
+
"num_attention_heads": 12,
|
25 |
+
"num_hidden_layers": 12,
|
26 |
+
"pad_token_id": 0,
|
27 |
+
"position_embedding_type": "absolute",
|
28 |
+
"problem_type": "regression",
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.45.0",
|
31 |
+
"type_vocab_size": 2,
|
32 |
+
"use_cache": true,
|
33 |
+
"vocab_size": 30522
|
34 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1862d3955c239cb3f081e5e1b53d030f3f6760b01d41356300e021e0c23febdb
|
3 |
+
size 437955572
|
runs/Oct16_08-32-42_bora-Lambda-Vector/events.out.tfevents.1729092764.bora-Lambda-Vector.174839.0
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 sha256:091d1177ec6bdbe3d3e0d6a4832f24a18108ccd889964c460785b79dec88e83d
|
3 |
+
size 35887
|
runs/Oct16_08-32-42_bora-Lambda-Vector/events.out.tfevents.1729093158.bora-Lambda-Vector.174839.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:50725f2265be6755a200b13e853f4edd493094cd6ae8a8c38a73d8979dc85fb9
|
3 |
+
size 609
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_lower_case": true,
|
47 |
+
"mask_token": "[MASK]",
|
48 |
+
"model_max_length": 512,
|
49 |
+
"pad_token": "[PAD]",
|
50 |
+
"sep_token": "[SEP]",
|
51 |
+
"strip_accents": null,
|
52 |
+
"tokenize_chinese_chars": true,
|
53 |
+
"tokenizer_class": "BertTokenizer",
|
54 |
+
"unk_token": "[UNK]"
|
55 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:78430683b6ede99522478a9b4b76c6f8811dd22f6166dd46ff939c9f1f9a0432
|
3 |
+
size 5240
|
training_params.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "QaagiFilter3/autotrain-data",
|
3 |
+
"model": "google-bert/bert-base-uncased",
|
4 |
+
"lr": 5e-05,
|
5 |
+
"epochs": 10,
|
6 |
+
"max_seq_length": 128,
|
7 |
+
"batch_size": 8,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": "validation",
|
17 |
+
"text_column": "autotrain_text",
|
18 |
+
"target_column": "autotrain_label",
|
19 |
+
"logging_steps": -1,
|
20 |
+
"project_name": "QaagiFilter3",
|
21 |
+
"auto_find_batch_size": false,
|
22 |
+
"mixed_precision": "fp16",
|
23 |
+
"save_total_limit": 1,
|
24 |
+
"push_to_hub": true,
|
25 |
+
"eval_strategy": "epoch",
|
26 |
+
"username": "vuk123",
|
27 |
+
"log": "tensorboard",
|
28 |
+
"early_stopping_patience": 5,
|
29 |
+
"early_stopping_threshold": 0.01
|
30 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|