Model save
Browse files
README.md
ADDED
@@ -0,0 +1,317 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: mit
|
4 |
+
base_model: vinai/phobert-base
|
5 |
+
tags:
|
6 |
+
- generated_from_trainer
|
7 |
+
metrics:
|
8 |
+
- accuracy
|
9 |
+
- f1
|
10 |
+
- precision
|
11 |
+
- recall
|
12 |
+
model-index:
|
13 |
+
- name: phobert_finetuned
|
14 |
+
results: []
|
15 |
+
---
|
16 |
+
|
17 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
18 |
+
should probably proofread and complete it, then remove this comment. -->
|
19 |
+
|
20 |
+
# phobert_finetuned
|
21 |
+
|
22 |
+
This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
|
23 |
+
It achieves the following results on the evaluation set:
|
24 |
+
- Loss: nan
|
25 |
+
- Accuracy: 0.3833
|
26 |
+
- F1: 0.3818
|
27 |
+
- Precision: 0.4337
|
28 |
+
- Recall: 0.3833
|
29 |
+
|
30 |
+
## Model description
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Intended uses & limitations
|
35 |
+
|
36 |
+
More information needed
|
37 |
+
|
38 |
+
## Training and evaluation data
|
39 |
+
|
40 |
+
More information needed
|
41 |
+
|
42 |
+
## Training procedure
|
43 |
+
|
44 |
+
### Training hyperparameters
|
45 |
+
|
46 |
+
The following hyperparameters were used during training:
|
47 |
+
- learning_rate: 2e-05
|
48 |
+
- train_batch_size: 32
|
49 |
+
- eval_batch_size: 32
|
50 |
+
- seed: 42
|
51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
52 |
+
- lr_scheduler_type: linear
|
53 |
+
- num_epochs: 250
|
54 |
+
- mixed_precision_training: Native AMP
|
55 |
+
|
56 |
+
### Training results
|
57 |
+
|
58 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|
59 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
|
60 |
+
| 1.0775 | 1.0 | 30 | nan | 0.375 | 0.3679 | 0.4021 | 0.375 |
|
61 |
+
| 1.084 | 2.0 | 60 | nan | 0.3875 | 0.3833 | 0.4203 | 0.3875 |
|
62 |
+
| 1.0727 | 3.0 | 90 | nan | 0.375 | 0.3691 | 0.4075 | 0.375 |
|
63 |
+
| 1.0743 | 4.0 | 120 | nan | 0.3792 | 0.3736 | 0.4007 | 0.3792 |
|
64 |
+
| 1.0735 | 5.0 | 150 | nan | 0.3875 | 0.3829 | 0.4342 | 0.3875 |
|
65 |
+
| 1.0916 | 6.0 | 180 | nan | 0.375 | 0.3651 | 0.3971 | 0.375 |
|
66 |
+
| 1.0802 | 7.0 | 210 | nan | 0.3792 | 0.3728 | 0.4181 | 0.3792 |
|
67 |
+
| 1.0761 | 8.0 | 240 | nan | 0.3792 | 0.3586 | 0.4018 | 0.3792 |
|
68 |
+
| 1.0793 | 9.0 | 270 | nan | 0.4042 | 0.4014 | 0.4436 | 0.4042 |
|
69 |
+
| 1.0647 | 10.0 | 300 | nan | 0.3958 | 0.3930 | 0.4418 | 0.3958 |
|
70 |
+
| 1.0842 | 11.0 | 330 | nan | 0.375 | 0.3645 | 0.3957 | 0.375 |
|
71 |
+
| 1.0724 | 12.0 | 360 | nan | 0.3792 | 0.3770 | 0.4186 | 0.3792 |
|
72 |
+
| 1.0973 | 13.0 | 390 | nan | 0.4083 | 0.4108 | 0.4453 | 0.4083 |
|
73 |
+
| 1.0667 | 14.0 | 420 | nan | 0.3833 | 0.3789 | 0.4315 | 0.3833 |
|
74 |
+
| 1.0631 | 15.0 | 450 | nan | 0.4 | 0.3996 | 0.4392 | 0.4 |
|
75 |
+
| 1.0837 | 16.0 | 480 | nan | 0.3833 | 0.3771 | 0.4097 | 0.3833 |
|
76 |
+
| 1.073 | 17.0 | 510 | nan | 0.4 | 0.4002 | 0.4272 | 0.4 |
|
77 |
+
| 1.075 | 18.0 | 540 | nan | 0.3708 | 0.3625 | 0.4032 | 0.3708 |
|
78 |
+
| 1.0865 | 19.0 | 570 | nan | 0.3875 | 0.3839 | 0.4255 | 0.3875 |
|
79 |
+
| 1.075 | 20.0 | 600 | nan | 0.3917 | 0.3872 | 0.4290 | 0.3917 |
|
80 |
+
| 1.0884 | 21.0 | 630 | nan | 0.3917 | 0.3914 | 0.4301 | 0.3917 |
|
81 |
+
| 1.0921 | 22.0 | 660 | nan | 0.3917 | 0.3900 | 0.4445 | 0.3917 |
|
82 |
+
| 1.0749 | 23.0 | 690 | nan | 0.3958 | 0.3955 | 0.4341 | 0.3958 |
|
83 |
+
| 1.0535 | 24.0 | 720 | nan | 0.3917 | 0.3879 | 0.4297 | 0.3917 |
|
84 |
+
| 1.058 | 25.0 | 750 | nan | 0.3917 | 0.3881 | 0.4361 | 0.3917 |
|
85 |
+
| 1.0812 | 26.0 | 780 | nan | 0.3958 | 0.3944 | 0.4459 | 0.3958 |
|
86 |
+
| 1.0743 | 27.0 | 810 | nan | 0.3875 | 0.3844 | 0.4607 | 0.3875 |
|
87 |
+
| 1.0721 | 28.0 | 840 | nan | 0.4 | 0.3982 | 0.4597 | 0.4 |
|
88 |
+
| 1.0776 | 29.0 | 870 | nan | 0.3833 | 0.3800 | 0.4291 | 0.3833 |
|
89 |
+
| 1.0815 | 30.0 | 900 | nan | 0.4 | 0.4006 | 0.4444 | 0.4 |
|
90 |
+
| 1.0757 | 31.0 | 930 | nan | 0.3958 | 0.3975 | 0.4246 | 0.3958 |
|
91 |
+
| 1.065 | 32.0 | 960 | nan | 0.3833 | 0.3800 | 0.4252 | 0.3833 |
|
92 |
+
| 1.0669 | 33.0 | 990 | nan | 0.3875 | 0.3841 | 0.4173 | 0.3875 |
|
93 |
+
| 1.0685 | 34.0 | 1020 | nan | 0.3875 | 0.3852 | 0.4353 | 0.3875 |
|
94 |
+
| 1.0687 | 35.0 | 1050 | nan | 0.3792 | 0.3792 | 0.4163 | 0.3792 |
|
95 |
+
| 1.0736 | 36.0 | 1080 | nan | 0.3958 | 0.3942 | 0.4350 | 0.3958 |
|
96 |
+
| 1.0919 | 37.0 | 1110 | nan | 0.3792 | 0.3718 | 0.4349 | 0.3792 |
|
97 |
+
| 1.0905 | 38.0 | 1140 | nan | 0.3875 | 0.3840 | 0.4174 | 0.3875 |
|
98 |
+
| 1.0858 | 39.0 | 1170 | nan | 0.4042 | 0.4026 | 0.4337 | 0.4042 |
|
99 |
+
| 1.0809 | 40.0 | 1200 | nan | 0.375 | 0.3725 | 0.4152 | 0.375 |
|
100 |
+
| 1.0803 | 41.0 | 1230 | nan | 0.3958 | 0.3957 | 0.4386 | 0.3958 |
|
101 |
+
| 1.0688 | 42.0 | 1260 | nan | 0.3875 | 0.3847 | 0.4412 | 0.3875 |
|
102 |
+
| 1.0928 | 43.0 | 1290 | nan | 0.3875 | 0.3875 | 0.4485 | 0.3875 |
|
103 |
+
| 1.0711 | 44.0 | 1320 | nan | 0.3917 | 0.3914 | 0.4233 | 0.3917 |
|
104 |
+
| 1.0761 | 45.0 | 1350 | nan | 0.3958 | 0.3902 | 0.4515 | 0.3958 |
|
105 |
+
| 1.0738 | 46.0 | 1380 | nan | 0.3792 | 0.3776 | 0.4134 | 0.3792 |
|
106 |
+
| 1.0743 | 47.0 | 1410 | nan | 0.3792 | 0.3759 | 0.4295 | 0.3792 |
|
107 |
+
| 1.0849 | 48.0 | 1440 | nan | 0.3833 | 0.3793 | 0.4246 | 0.3833 |
|
108 |
+
| 1.0701 | 49.0 | 1470 | nan | 0.4 | 0.4002 | 0.4257 | 0.4 |
|
109 |
+
| 1.0496 | 50.0 | 1500 | nan | 0.3917 | 0.3898 | 0.4398 | 0.3917 |
|
110 |
+
| 1.0899 | 51.0 | 1530 | nan | 0.3958 | 0.3946 | 0.4314 | 0.3958 |
|
111 |
+
| 1.066 | 52.0 | 1560 | nan | 0.375 | 0.3725 | 0.4095 | 0.375 |
|
112 |
+
| 1.0777 | 53.0 | 1590 | nan | 0.3833 | 0.3793 | 0.4119 | 0.3833 |
|
113 |
+
| 1.0721 | 54.0 | 1620 | nan | 0.3792 | 0.3744 | 0.4108 | 0.3792 |
|
114 |
+
| 1.0887 | 55.0 | 1650 | nan | 0.3792 | 0.3766 | 0.4038 | 0.3792 |
|
115 |
+
| 1.0793 | 56.0 | 1680 | nan | 0.375 | 0.3725 | 0.4060 | 0.375 |
|
116 |
+
| 1.0747 | 57.0 | 1710 | nan | 0.3792 | 0.3750 | 0.4157 | 0.3792 |
|
117 |
+
| 1.0748 | 58.0 | 1740 | nan | 0.3792 | 0.3730 | 0.4188 | 0.3792 |
|
118 |
+
| 1.0589 | 59.0 | 1770 | nan | 0.3833 | 0.3810 | 0.4335 | 0.3833 |
|
119 |
+
| 1.078 | 60.0 | 1800 | nan | 0.3833 | 0.3841 | 0.4061 | 0.3833 |
|
120 |
+
| 1.0798 | 61.0 | 1830 | nan | 0.3833 | 0.3816 | 0.4312 | 0.3833 |
|
121 |
+
| 1.0864 | 62.0 | 1860 | nan | 0.3875 | 0.3848 | 0.4313 | 0.3875 |
|
122 |
+
| 1.074 | 63.0 | 1890 | nan | 0.3833 | 0.3821 | 0.4372 | 0.3833 |
|
123 |
+
| 1.0707 | 64.0 | 1920 | nan | 0.375 | 0.3726 | 0.4062 | 0.375 |
|
124 |
+
| 1.0793 | 65.0 | 1950 | nan | 0.375 | 0.3723 | 0.4046 | 0.375 |
|
125 |
+
| 1.0849 | 66.0 | 1980 | nan | 0.3917 | 0.3921 | 0.4408 | 0.3917 |
|
126 |
+
| 1.0722 | 67.0 | 2010 | nan | 0.3875 | 0.3841 | 0.4191 | 0.3875 |
|
127 |
+
| 1.0646 | 68.0 | 2040 | nan | 0.3958 | 0.3931 | 0.4241 | 0.3958 |
|
128 |
+
| 1.0771 | 69.0 | 2070 | nan | 0.3958 | 0.3950 | 0.4379 | 0.3958 |
|
129 |
+
| 1.0761 | 70.0 | 2100 | nan | 0.3917 | 0.3915 | 0.4408 | 0.3917 |
|
130 |
+
| 1.0759 | 71.0 | 2130 | nan | 0.3875 | 0.3862 | 0.4146 | 0.3875 |
|
131 |
+
| 1.0727 | 72.0 | 2160 | nan | 0.3792 | 0.3784 | 0.4375 | 0.3792 |
|
132 |
+
| 1.0758 | 73.0 | 2190 | nan | 0.3875 | 0.3829 | 0.4411 | 0.3875 |
|
133 |
+
| 1.0848 | 74.0 | 2220 | nan | 0.375 | 0.3713 | 0.4352 | 0.375 |
|
134 |
+
| 1.0659 | 75.0 | 2250 | nan | 0.3958 | 0.3927 | 0.4305 | 0.3958 |
|
135 |
+
| 1.0784 | 76.0 | 2280 | nan | 0.3792 | 0.3743 | 0.4097 | 0.3792 |
|
136 |
+
| 1.0831 | 77.0 | 2310 | nan | 0.3833 | 0.3776 | 0.4187 | 0.3833 |
|
137 |
+
| 1.074 | 78.0 | 2340 | nan | 0.3833 | 0.3789 | 0.4226 | 0.3833 |
|
138 |
+
| 1.08 | 79.0 | 2370 | nan | 0.375 | 0.3727 | 0.4187 | 0.375 |
|
139 |
+
| 1.0744 | 80.0 | 2400 | nan | 0.3917 | 0.3917 | 0.4181 | 0.3917 |
|
140 |
+
| 1.0568 | 81.0 | 2430 | nan | 0.3708 | 0.3681 | 0.4320 | 0.3708 |
|
141 |
+
| 1.074 | 82.0 | 2460 | nan | 0.3875 | 0.3853 | 0.4158 | 0.3875 |
|
142 |
+
| 1.0822 | 83.0 | 2490 | nan | 0.3917 | 0.3897 | 0.4406 | 0.3917 |
|
143 |
+
| 1.0735 | 84.0 | 2520 | nan | 0.3833 | 0.3820 | 0.4121 | 0.3833 |
|
144 |
+
| 1.0679 | 85.0 | 2550 | nan | 0.3875 | 0.3860 | 0.4324 | 0.3875 |
|
145 |
+
| 1.0775 | 86.0 | 2580 | nan | 0.375 | 0.3670 | 0.4306 | 0.375 |
|
146 |
+
| 1.0683 | 87.0 | 2610 | nan | 0.3792 | 0.3736 | 0.4168 | 0.3792 |
|
147 |
+
| 1.0611 | 88.0 | 2640 | nan | 0.3792 | 0.3738 | 0.4278 | 0.3792 |
|
148 |
+
| 1.0844 | 89.0 | 2670 | nan | 0.3833 | 0.3808 | 0.4212 | 0.3833 |
|
149 |
+
| 1.0628 | 90.0 | 2700 | nan | 0.3917 | 0.3891 | 0.4244 | 0.3917 |
|
150 |
+
| 1.0639 | 91.0 | 2730 | nan | 0.3833 | 0.3779 | 0.4159 | 0.3833 |
|
151 |
+
| 1.0758 | 92.0 | 2760 | nan | 0.3708 | 0.3677 | 0.4278 | 0.3708 |
|
152 |
+
| 1.0991 | 93.0 | 2790 | nan | 0.375 | 0.3726 | 0.4107 | 0.375 |
|
153 |
+
| 1.0733 | 94.0 | 2820 | nan | 0.3833 | 0.3781 | 0.4232 | 0.3833 |
|
154 |
+
| 1.0632 | 95.0 | 2850 | nan | 0.3875 | 0.3856 | 0.4115 | 0.3875 |
|
155 |
+
| 1.0791 | 96.0 | 2880 | nan | 0.3667 | 0.3595 | 0.4048 | 0.3667 |
|
156 |
+
| 1.0633 | 97.0 | 2910 | nan | 0.3792 | 0.3768 | 0.4145 | 0.3792 |
|
157 |
+
| 1.074 | 98.0 | 2940 | nan | 0.375 | 0.3723 | 0.4008 | 0.375 |
|
158 |
+
| 1.0983 | 99.0 | 2970 | nan | 0.375 | 0.3695 | 0.4072 | 0.375 |
|
159 |
+
| 1.0959 | 100.0 | 3000 | nan | 0.3792 | 0.3757 | 0.4054 | 0.3792 |
|
160 |
+
| 1.0695 | 101.0 | 3030 | nan | 0.3917 | 0.3869 | 0.4205 | 0.3917 |
|
161 |
+
| 1.0708 | 102.0 | 3060 | nan | 0.3958 | 0.3921 | 0.4264 | 0.3958 |
|
162 |
+
| 1.0741 | 103.0 | 3090 | nan | 0.3792 | 0.3714 | 0.4111 | 0.3792 |
|
163 |
+
| 1.0773 | 104.0 | 3120 | nan | 0.3833 | 0.3784 | 0.4154 | 0.3833 |
|
164 |
+
| 1.0824 | 105.0 | 3150 | nan | 0.375 | 0.3683 | 0.4067 | 0.375 |
|
165 |
+
| 1.071 | 106.0 | 3180 | nan | 0.3708 | 0.3668 | 0.4033 | 0.3708 |
|
166 |
+
| 1.0631 | 107.0 | 3210 | nan | 0.3833 | 0.3808 | 0.4136 | 0.3833 |
|
167 |
+
| 1.0824 | 108.0 | 3240 | nan | 0.375 | 0.3691 | 0.4184 | 0.375 |
|
168 |
+
| 1.0779 | 109.0 | 3270 | nan | 0.3708 | 0.3644 | 0.4080 | 0.3708 |
|
169 |
+
| 1.0739 | 110.0 | 3300 | nan | 0.3792 | 0.3775 | 0.4139 | 0.3792 |
|
170 |
+
| 1.0715 | 111.0 | 3330 | nan | 0.3917 | 0.3878 | 0.4404 | 0.3917 |
|
171 |
+
| 1.0633 | 112.0 | 3360 | nan | 0.3792 | 0.3777 | 0.4302 | 0.3792 |
|
172 |
+
| 1.063 | 113.0 | 3390 | nan | 0.375 | 0.3729 | 0.4195 | 0.375 |
|
173 |
+
| 1.078 | 114.0 | 3420 | nan | 0.3875 | 0.3826 | 0.4360 | 0.3875 |
|
174 |
+
| 1.0737 | 115.0 | 3450 | nan | 0.3875 | 0.3857 | 0.4427 | 0.3875 |
|
175 |
+
| 1.067 | 116.0 | 3480 | nan | 0.3917 | 0.3876 | 0.4393 | 0.3917 |
|
176 |
+
| 1.0581 | 117.0 | 3510 | nan | 0.375 | 0.3718 | 0.4174 | 0.375 |
|
177 |
+
| 1.0691 | 118.0 | 3540 | nan | 0.375 | 0.3695 | 0.4130 | 0.375 |
|
178 |
+
| 1.0589 | 119.0 | 3570 | nan | 0.375 | 0.3718 | 0.4174 | 0.375 |
|
179 |
+
| 1.0616 | 120.0 | 3600 | nan | 0.3708 | 0.3650 | 0.4020 | 0.3708 |
|
180 |
+
| 1.0541 | 121.0 | 3630 | nan | 0.375 | 0.3715 | 0.4067 | 0.375 |
|
181 |
+
| 1.0699 | 122.0 | 3660 | nan | 0.3875 | 0.3831 | 0.4214 | 0.3875 |
|
182 |
+
| 1.0697 | 123.0 | 3690 | nan | 0.3958 | 0.3925 | 0.4297 | 0.3958 |
|
183 |
+
| 1.0744 | 124.0 | 3720 | nan | 0.3917 | 0.3881 | 0.4271 | 0.3917 |
|
184 |
+
| 1.0817 | 125.0 | 3750 | nan | 0.3875 | 0.3816 | 0.4359 | 0.3875 |
|
185 |
+
| 1.085 | 126.0 | 3780 | nan | 0.3708 | 0.3680 | 0.4096 | 0.3708 |
|
186 |
+
| 1.0918 | 127.0 | 3810 | nan | 0.3792 | 0.3772 | 0.4240 | 0.3792 |
|
187 |
+
| 1.071 | 128.0 | 3840 | nan | 0.3917 | 0.3904 | 0.4357 | 0.3917 |
|
188 |
+
| 1.0684 | 129.0 | 3870 | nan | 0.4 | 0.3996 | 0.4426 | 0.4 |
|
189 |
+
| 1.0647 | 130.0 | 3900 | nan | 0.3792 | 0.3769 | 0.4430 | 0.3792 |
|
190 |
+
| 1.0814 | 131.0 | 3930 | nan | 0.375 | 0.3721 | 0.4137 | 0.375 |
|
191 |
+
| 1.0806 | 132.0 | 3960 | nan | 0.3833 | 0.3801 | 0.4489 | 0.3833 |
|
192 |
+
| 1.0877 | 133.0 | 3990 | nan | 0.3875 | 0.3861 | 0.4332 | 0.3875 |
|
193 |
+
| 1.0694 | 134.0 | 4020 | nan | 0.3917 | 0.3891 | 0.4266 | 0.3917 |
|
194 |
+
| 1.071 | 135.0 | 4050 | nan | 0.3917 | 0.3899 | 0.4383 | 0.3917 |
|
195 |
+
| 1.0647 | 136.0 | 4080 | nan | 0.3917 | 0.3904 | 0.4357 | 0.3917 |
|
196 |
+
| 1.0877 | 137.0 | 4110 | nan | 0.3917 | 0.3902 | 0.4327 | 0.3917 |
|
197 |
+
| 1.0661 | 138.0 | 4140 | nan | 0.3875 | 0.3855 | 0.4266 | 0.3875 |
|
198 |
+
| 1.0855 | 139.0 | 4170 | nan | 0.3917 | 0.3912 | 0.4464 | 0.3917 |
|
199 |
+
| 1.0824 | 140.0 | 4200 | nan | 0.3917 | 0.3888 | 0.4509 | 0.3917 |
|
200 |
+
| 1.0615 | 141.0 | 4230 | nan | 0.3917 | 0.3905 | 0.4384 | 0.3917 |
|
201 |
+
| 1.0684 | 142.0 | 4260 | nan | 0.3958 | 0.3942 | 0.4474 | 0.3958 |
|
202 |
+
| 1.0514 | 143.0 | 4290 | nan | 0.3875 | 0.3857 | 0.4259 | 0.3875 |
|
203 |
+
| 1.0786 | 144.0 | 4320 | nan | 0.3917 | 0.3899 | 0.4294 | 0.3917 |
|
204 |
+
| 1.0908 | 145.0 | 4350 | nan | 0.3875 | 0.3863 | 0.4493 | 0.3875 |
|
205 |
+
| 1.0945 | 146.0 | 4380 | nan | 0.3875 | 0.3850 | 0.4275 | 0.3875 |
|
206 |
+
| 1.0635 | 147.0 | 4410 | nan | 0.3792 | 0.3769 | 0.4199 | 0.3792 |
|
207 |
+
| 1.0573 | 148.0 | 4440 | nan | 0.3917 | 0.3904 | 0.4378 | 0.3917 |
|
208 |
+
| 1.0602 | 149.0 | 4470 | nan | 0.3875 | 0.3855 | 0.4331 | 0.3875 |
|
209 |
+
| 1.0824 | 150.0 | 4500 | nan | 0.3958 | 0.3938 | 0.4369 | 0.3958 |
|
210 |
+
| 1.0759 | 151.0 | 4530 | nan | 0.3958 | 0.3939 | 0.4391 | 0.3958 |
|
211 |
+
| 1.0373 | 152.0 | 4560 | nan | 0.4 | 0.3985 | 0.4577 | 0.4 |
|
212 |
+
| 1.0891 | 153.0 | 4590 | nan | 0.3875 | 0.3863 | 0.4493 | 0.3875 |
|
213 |
+
| 1.0836 | 154.0 | 4620 | nan | 0.3917 | 0.3909 | 0.4426 | 0.3917 |
|
214 |
+
| 1.043 | 155.0 | 4650 | nan | 0.3917 | 0.3903 | 0.4350 | 0.3917 |
|
215 |
+
| 1.0686 | 156.0 | 4680 | nan | 0.3875 | 0.3863 | 0.4493 | 0.3875 |
|
216 |
+
| 1.0733 | 157.0 | 4710 | nan | 0.3833 | 0.3810 | 0.4452 | 0.3833 |
|
217 |
+
| 1.0777 | 158.0 | 4740 | nan | 0.3833 | 0.3802 | 0.4461 | 0.3833 |
|
218 |
+
| 1.0842 | 159.0 | 4770 | nan | 0.3917 | 0.3898 | 0.4398 | 0.3917 |
|
219 |
+
| 1.0586 | 160.0 | 4800 | nan | 0.3875 | 0.3859 | 0.4372 | 0.3875 |
|
220 |
+
| 1.072 | 161.0 | 4830 | nan | 0.375 | 0.3730 | 0.4301 | 0.375 |
|
221 |
+
| 1.0853 | 162.0 | 4860 | nan | 0.3875 | 0.3868 | 0.4237 | 0.3875 |
|
222 |
+
| 1.061 | 163.0 | 4890 | nan | 0.3792 | 0.3759 | 0.4202 | 0.3792 |
|
223 |
+
| 1.0806 | 164.0 | 4920 | nan | 0.3917 | 0.3903 | 0.4470 | 0.3917 |
|
224 |
+
| 1.0873 | 165.0 | 4950 | nan | 0.3958 | 0.3937 | 0.4431 | 0.3958 |
|
225 |
+
| 1.0696 | 166.0 | 4980 | nan | 0.3958 | 0.3943 | 0.4504 | 0.3958 |
|
226 |
+
| 1.0828 | 167.0 | 5010 | nan | 0.3958 | 0.3937 | 0.4431 | 0.3958 |
|
227 |
+
| 1.069 | 168.0 | 5040 | nan | 0.3917 | 0.3900 | 0.4433 | 0.3917 |
|
228 |
+
| 1.0798 | 169.0 | 5070 | nan | 0.3833 | 0.3817 | 0.4329 | 0.3833 |
|
229 |
+
| 1.0801 | 170.0 | 5100 | nan | 0.3875 | 0.3857 | 0.4364 | 0.3875 |
|
230 |
+
| 1.055 | 171.0 | 5130 | nan | 0.3833 | 0.3820 | 0.4364 | 0.3833 |
|
231 |
+
| 1.0737 | 172.0 | 5160 | nan | 0.3833 | 0.3824 | 0.4305 | 0.3833 |
|
232 |
+
| 1.0805 | 173.0 | 5190 | nan | 0.3833 | 0.3821 | 0.4275 | 0.3833 |
|
233 |
+
| 1.0783 | 174.0 | 5220 | nan | 0.3917 | 0.3912 | 0.4353 | 0.3917 |
|
234 |
+
| 1.0823 | 175.0 | 5250 | nan | 0.3833 | 0.3820 | 0.4330 | 0.3833 |
|
235 |
+
| 1.0732 | 176.0 | 5280 | nan | 0.3917 | 0.3900 | 0.4433 | 0.3917 |
|
236 |
+
| 1.0651 | 177.0 | 5310 | nan | 0.3875 | 0.3863 | 0.4436 | 0.3875 |
|
237 |
+
| 1.0865 | 178.0 | 5340 | nan | 0.3792 | 0.3783 | 0.4367 | 0.3792 |
|
238 |
+
| 1.0693 | 179.0 | 5370 | nan | 0.3958 | 0.3947 | 0.4551 | 0.3958 |
|
239 |
+
| 1.0764 | 180.0 | 5400 | nan | 0.3833 | 0.3811 | 0.4267 | 0.3833 |
|
240 |
+
| 1.069 | 181.0 | 5430 | nan | 0.3875 | 0.3859 | 0.4372 | 0.3875 |
|
241 |
+
| 1.0872 | 182.0 | 5460 | nan | 0.3792 | 0.3777 | 0.4302 | 0.3792 |
|
242 |
+
| 1.0919 | 183.0 | 5490 | nan | 0.3958 | 0.3939 | 0.4439 | 0.3958 |
|
243 |
+
| 1.0715 | 184.0 | 5520 | nan | 0.3875 | 0.3859 | 0.4372 | 0.3875 |
|
244 |
+
| 1.0569 | 185.0 | 5550 | nan | 0.3792 | 0.3767 | 0.4195 | 0.3792 |
|
245 |
+
| 1.0665 | 186.0 | 5580 | nan | 0.3958 | 0.3937 | 0.4408 | 0.3958 |
|
246 |
+
| 1.0702 | 187.0 | 5610 | nan | 0.3875 | 0.3856 | 0.4249 | 0.3875 |
|
247 |
+
| 1.0809 | 188.0 | 5640 | nan | 0.3792 | 0.3777 | 0.4302 | 0.3792 |
|
248 |
+
| 1.0659 | 189.0 | 5670 | nan | 0.3917 | 0.3899 | 0.4406 | 0.3917 |
|
249 |
+
| 1.0581 | 190.0 | 5700 | nan | 0.3833 | 0.3816 | 0.4305 | 0.3833 |
|
250 |
+
| 1.0776 | 191.0 | 5730 | nan | 0.3875 | 0.3862 | 0.4406 | 0.3875 |
|
251 |
+
| 1.0802 | 192.0 | 5760 | nan | 0.3958 | 0.3942 | 0.4474 | 0.3958 |
|
252 |
+
| 1.0845 | 193.0 | 5790 | nan | 0.3917 | 0.3899 | 0.4534 | 0.3917 |
|
253 |
+
| 1.0512 | 194.0 | 5820 | nan | 0.3917 | 0.3912 | 0.4512 | 0.3917 |
|
254 |
+
| 1.0702 | 195.0 | 5850 | nan | 0.3958 | 0.3940 | 0.4466 | 0.3958 |
|
255 |
+
| 1.0794 | 196.0 | 5880 | nan | 0.3875 | 0.3862 | 0.4406 | 0.3875 |
|
256 |
+
| 1.0817 | 197.0 | 5910 | nan | 0.3917 | 0.3902 | 0.4440 | 0.3917 |
|
257 |
+
| 1.0798 | 198.0 | 5940 | nan | 0.3958 | 0.3942 | 0.4474 | 0.3958 |
|
258 |
+
| 1.0764 | 199.0 | 5970 | nan | 0.3958 | 0.3944 | 0.4511 | 0.3958 |
|
259 |
+
| 1.0625 | 200.0 | 6000 | nan | 0.3833 | 0.3812 | 0.44 | 0.3833 |
|
260 |
+
| 1.0746 | 201.0 | 6030 | nan | 0.3917 | 0.3905 | 0.4478 | 0.3917 |
|
261 |
+
| 1.0912 | 202.0 | 6060 | nan | 0.3792 | 0.3770 | 0.4213 | 0.3792 |
|
262 |
+
| 1.0557 | 203.0 | 6090 | nan | 0.3833 | 0.3812 | 0.44 | 0.3833 |
|
263 |
+
| 1.057 | 204.0 | 6120 | nan | 0.3875 | 0.3850 | 0.4275 | 0.3875 |
|
264 |
+
| 1.0635 | 205.0 | 6150 | nan | 0.3875 | 0.3852 | 0.4302 | 0.3875 |
|
265 |
+
| 1.0744 | 206.0 | 6180 | nan | 0.375 | 0.3721 | 0.4196 | 0.375 |
|
266 |
+
| 1.0939 | 207.0 | 6210 | nan | 0.3875 | 0.3852 | 0.4302 | 0.3875 |
|
267 |
+
| 1.0703 | 208.0 | 6240 | nan | 0.3792 | 0.3755 | 0.4308 | 0.3792 |
|
268 |
+
| 1.0812 | 209.0 | 6270 | nan | 0.3708 | 0.3676 | 0.4247 | 0.3708 |
|
269 |
+
| 1.0797 | 210.0 | 6300 | nan | 0.3875 | 0.3854 | 0.4311 | 0.3875 |
|
270 |
+
| 1.0783 | 211.0 | 6330 | nan | 0.3833 | 0.3807 | 0.4215 | 0.3833 |
|
271 |
+
| 1.0645 | 212.0 | 6360 | nan | 0.3917 | 0.3895 | 0.4345 | 0.3917 |
|
272 |
+
| 1.075 | 213.0 | 6390 | nan | 0.375 | 0.3723 | 0.4225 | 0.375 |
|
273 |
+
| 1.0549 | 214.0 | 6420 | nan | 0.3917 | 0.3893 | 0.4319 | 0.3917 |
|
274 |
+
| 1.0732 | 215.0 | 6450 | nan | 0.375 | 0.3726 | 0.4258 | 0.375 |
|
275 |
+
| 1.081 | 216.0 | 6480 | nan | 0.3708 | 0.3674 | 0.4239 | 0.3708 |
|
276 |
+
| 1.0623 | 217.0 | 6510 | nan | 0.3833 | 0.3793 | 0.4335 | 0.3833 |
|
277 |
+
| 1.066 | 218.0 | 6540 | nan | 0.3833 | 0.3793 | 0.4335 | 0.3833 |
|
278 |
+
| 1.0761 | 219.0 | 6570 | nan | 0.3833 | 0.3795 | 0.4342 | 0.3833 |
|
279 |
+
| 1.0528 | 220.0 | 6600 | nan | 0.3917 | 0.3899 | 0.4406 | 0.3917 |
|
280 |
+
| 1.0577 | 221.0 | 6630 | nan | 0.3792 | 0.3755 | 0.4308 | 0.3792 |
|
281 |
+
| 1.0796 | 222.0 | 6660 | nan | 0.3875 | 0.3846 | 0.4381 | 0.3875 |
|
282 |
+
| 1.0571 | 223.0 | 6690 | nan | 0.3875 | 0.3859 | 0.4372 | 0.3875 |
|
283 |
+
| 1.081 | 224.0 | 6720 | nan | 0.3875 | 0.3859 | 0.4372 | 0.3875 |
|
284 |
+
| 1.0761 | 225.0 | 6750 | nan | 0.3792 | 0.3772 | 0.4240 | 0.3792 |
|
285 |
+
| 1.0667 | 226.0 | 6780 | nan | 0.3833 | 0.3810 | 0.4362 | 0.3833 |
|
286 |
+
| 1.0838 | 227.0 | 6810 | nan | 0.375 | 0.3723 | 0.4225 | 0.375 |
|
287 |
+
| 1.0441 | 228.0 | 6840 | nan | 0.375 | 0.3723 | 0.4225 | 0.375 |
|
288 |
+
| 1.053 | 229.0 | 6870 | nan | 0.375 | 0.3729 | 0.4293 | 0.375 |
|
289 |
+
| 1.0648 | 230.0 | 6900 | nan | 0.3792 | 0.3769 | 0.4328 | 0.3792 |
|
290 |
+
| 1.0704 | 231.0 | 6930 | nan | 0.3792 | 0.3758 | 0.4347 | 0.3792 |
|
291 |
+
| 1.0909 | 232.0 | 6960 | nan | 0.375 | 0.3718 | 0.4313 | 0.375 |
|
292 |
+
| 1.0405 | 233.0 | 6990 | nan | 0.3833 | 0.3808 | 0.4354 | 0.3833 |
|
293 |
+
| 1.0957 | 234.0 | 7020 | nan | 0.375 | 0.3718 | 0.4313 | 0.375 |
|
294 |
+
| 1.0526 | 235.0 | 7050 | nan | 0.3792 | 0.3758 | 0.4347 | 0.3792 |
|
295 |
+
| 1.07 | 236.0 | 7080 | nan | 0.3708 | 0.3674 | 0.4239 | 0.3708 |
|
296 |
+
| 1.081 | 237.0 | 7110 | nan | 0.375 | 0.3718 | 0.4313 | 0.375 |
|
297 |
+
| 1.0567 | 238.0 | 7140 | nan | 0.375 | 0.3718 | 0.4313 | 0.375 |
|
298 |
+
| 1.0558 | 239.0 | 7170 | nan | 0.375 | 0.3715 | 0.4274 | 0.375 |
|
299 |
+
| 1.1036 | 240.0 | 7200 | nan | 0.375 | 0.3715 | 0.4274 | 0.375 |
|
300 |
+
| 1.0691 | 241.0 | 7230 | nan | 0.3792 | 0.3769 | 0.4328 | 0.3792 |
|
301 |
+
| 1.0531 | 242.0 | 7260 | nan | 0.3833 | 0.3821 | 0.4372 | 0.3833 |
|
302 |
+
| 1.0711 | 243.0 | 7290 | nan | 0.3833 | 0.3818 | 0.4337 | 0.3833 |
|
303 |
+
| 1.0812 | 244.0 | 7320 | nan | 0.3833 | 0.3821 | 0.4372 | 0.3833 |
|
304 |
+
| 1.0796 | 245.0 | 7350 | nan | 0.3833 | 0.3821 | 0.4372 | 0.3833 |
|
305 |
+
| 1.0536 | 246.0 | 7380 | nan | 0.3833 | 0.3818 | 0.4337 | 0.3833 |
|
306 |
+
| 1.0766 | 247.0 | 7410 | nan | 0.3833 | 0.3818 | 0.4337 | 0.3833 |
|
307 |
+
| 1.0803 | 248.0 | 7440 | nan | 0.3833 | 0.3818 | 0.4337 | 0.3833 |
|
308 |
+
| 1.075 | 249.0 | 7470 | nan | 0.3833 | 0.3818 | 0.4337 | 0.3833 |
|
309 |
+
| 1.0688 | 250.0 | 7500 | nan | 0.3833 | 0.3818 | 0.4337 | 0.3833 |
|
310 |
+
|
311 |
+
|
312 |
+
### Framework versions
|
313 |
+
|
314 |
+
- Transformers 4.45.1
|
315 |
+
- Pytorch 2.4.0
|
316 |
+
- Datasets 3.0.1
|
317 |
+
- Tokenizers 0.20.0
|