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---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
datasets:
- gokuls/wiki_book_corpus_raw_dataset_tiny
metrics:
- accuracy
model-index:
- name: gpt_train_6_768
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: gokuls/wiki_book_corpus_raw_dataset_tiny
type: gokuls/wiki_book_corpus_raw_dataset_tiny
metrics:
- name: Accuracy
type: accuracy
value: 0.11184750327853396
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt_train_6_768
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the gokuls/wiki_book_corpus_raw_dataset_tiny dataset.
It achieves the following results on the evaluation set:
- Loss: 7.6211
- Accuracy: 0.1118
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 10.9531 | 0.0000 | 1 | 10.9609 | 0.0000 |
| 10.9453 | 0.0001 | 2 | 10.9609 | 0.0000 |
| 10.9609 | 0.0001 | 3 | 10.9609 | 0.0000 |
| 10.9531 | 0.0002 | 4 | 10.9609 | 0.0000 |
| 10.9531 | 0.0002 | 5 | 10.9609 | 0.0000 |
| 10.9609 | 0.0003 | 6 | 10.9609 | 0.0000 |
| 10.9531 | 0.0003 | 7 | 10.9609 | 0.0000 |
| 10.9531 | 0.0004 | 8 | 10.9609 | 0.0000 |
| 10.9609 | 0.0004 | 9 | 10.9609 | 0.0000 |
| 10.9609 | 0.0005 | 10 | 10.9609 | 0.0000 |
| 10.9609 | 0.0005 | 11 | 10.9609 | 0.0000 |
| 10.9609 | 0.0006 | 12 | 10.9609 | 0.0000 |
| 10.9609 | 0.0006 | 13 | 10.9609 | 0.0000 |
| 10.9531 | 0.0007 | 14 | 10.9609 | 0.0000 |
| 10.9531 | 0.0007 | 15 | 10.9609 | 0.0000 |
| 10.9531 | 0.0008 | 16 | 10.9609 | 0.0000 |
| 10.9609 | 0.0008 | 17 | 10.9609 | 0.0000 |
| 10.9609 | 0.0009 | 18 | 10.7188 | 0.0158 |
| 10.7422 | 0.0009 | 19 | 10.5078 | 0.0392 |
| 10.5391 | 0.0010 | 20 | 10.3516 | 0.0403 |
| 10.4219 | 0.0010 | 21 | 10.2422 | 0.0403 |
| 10.2656 | 0.0011 | 22 | 10.1484 | 0.0401 |
| 10.2109 | 0.0011 | 23 | 10.0703 | 0.0403 |
| 10.125 | 0.0012 | 24 | 10.0078 | 0.0420 |
| 10.0312 | 0.0012 | 25 | 9.9531 | 0.0449 |
| 9.9766 | 0.0013 | 26 | 9.9062 | 0.0489 |
| 9.9844 | 0.0013 | 27 | 9.8672 | 0.0504 |
| 9.9062 | 0.0014 | 28 | 9.8359 | 0.0508 |
| 9.875 | 0.0014 | 29 | 9.8047 | 0.0506 |
| 9.8359 | 0.0015 | 30 | 9.7812 | 0.0511 |
| 9.8516 | 0.0015 | 31 | 9.75 | 0.0513 |
| 9.875 | 0.0015 | 32 | 9.7344 | 0.0511 |
| 9.7109 | 0.0016 | 33 | 9.7109 | 0.0514 |
| 9.7266 | 0.0016 | 34 | 9.6953 | 0.0506 |
| 9.7344 | 0.0017 | 35 | 9.6797 | 0.0508 |
| 9.7344 | 0.0017 | 36 | 9.6641 | 0.0524 |
| 9.7422 | 0.0018 | 37 | 9.6484 | 0.0543 |
| 9.6094 | 0.0018 | 38 | 9.6328 | 0.0555 |
| 9.7188 | 0.0019 | 39 | 9.625 | 0.0562 |
| 9.6484 | 0.0019 | 40 | 9.6094 | 0.0572 |
| 9.6641 | 0.0020 | 41 | 9.6016 | 0.0573 |
| 9.6562 | 0.0020 | 42 | 9.5859 | 0.0573 |
| 9.6406 | 0.0021 | 43 | 9.5781 | 0.0590 |
| 9.5234 | 0.0021 | 44 | 9.5625 | 0.0605 |
| 9.5938 | 0.0022 | 45 | 9.5547 | 0.0615 |
| 9.5859 | 0.0022 | 46 | 9.5391 | 0.0623 |
| 9.5703 | 0.0023 | 47 | 9.5312 | 0.0626 |
| 9.5078 | 0.0023 | 48 | 9.5156 | 0.0627 |
| 9.6484 | 0.0024 | 49 | 9.5078 | 0.0628 |
| 9.4922 | 0.0024 | 50 | 9.4922 | 0.0629 |
| 9.5391 | 0.0025 | 51 | 9.4844 | 0.0633 |
| 9.5859 | 0.0025 | 52 | 9.4688 | 0.0639 |
| 9.5234 | 0.0026 | 53 | 9.4609 | 0.0647 |
| 9.5 | 0.0026 | 54 | 9.4453 | 0.0657 |
| 9.4609 | 0.0027 | 55 | 9.4375 | 0.0666 |
| 9.4531 | 0.0027 | 56 | 9.4219 | 0.0677 |
| 9.4375 | 0.0028 | 57 | 9.4141 | 0.0681 |
| 9.4141 | 0.0028 | 58 | 9.3984 | 0.0683 |
| 9.4844 | 0.0029 | 59 | 9.3906 | 0.0683 |
| 9.4297 | 0.0029 | 60 | 9.3828 | 0.0691 |
| 9.375 | 0.0030 | 61 | 9.3672 | 0.0694 |
| 9.4219 | 0.0030 | 62 | 9.3594 | 0.0693 |
| 9.3672 | 0.0031 | 63 | 9.3438 | 0.0692 |
| 9.3906 | 0.0031 | 64 | 9.3359 | 0.0700 |
| 9.4375 | 0.0031 | 65 | 9.3203 | 0.0713 |
| 9.3203 | 0.0032 | 66 | 9.3125 | 0.0718 |
| 9.375 | 0.0032 | 67 | 9.3047 | 0.0723 |
| 9.3516 | 0.0033 | 68 | 9.2891 | 0.0726 |
| 9.3359 | 0.0033 | 69 | 9.2812 | 0.0725 |
| 9.2891 | 0.0034 | 70 | 9.2656 | 0.0722 |
| 9.3047 | 0.0034 | 71 | 9.2578 | 0.0721 |
| 9.3125 | 0.0035 | 72 | 9.2422 | 0.0721 |
| 9.2891 | 0.0035 | 73 | 9.2344 | 0.0728 |
| 9.2578 | 0.0036 | 74 | 9.2188 | 0.0741 |
| 9.2422 | 0.0036 | 75 | 9.2109 | 0.0751 |
| 9.2031 | 0.0037 | 76 | 9.1953 | 0.0760 |
| 9.1641 | 0.0037 | 77 | 9.1875 | 0.0765 |
| 9.1953 | 0.0038 | 78 | 9.1797 | 0.0767 |
| 9.1484 | 0.0038 | 79 | 9.1641 | 0.0767 |
| 9.1953 | 0.0039 | 80 | 9.1562 | 0.0768 |
| 9.1328 | 0.0039 | 81 | 9.1406 | 0.0772 |
| 9.2109 | 0.0040 | 82 | 9.1328 | 0.0773 |
| 9.0547 | 0.0040 | 83 | 9.125 | 0.0771 |
| 9.1094 | 0.0041 | 84 | 9.1094 | 0.0770 |
| 9.1797 | 0.0041 | 85 | 9.1016 | 0.0768 |
| 9.1484 | 0.0042 | 86 | 9.0859 | 0.0770 |
| 9.1016 | 0.0042 | 87 | 9.0781 | 0.0772 |
| 9.1172 | 0.0043 | 88 | 9.0703 | 0.0772 |
| 9.0078 | 0.0043 | 89 | 9.0625 | 0.0772 |
| 8.9688 | 0.0044 | 90 | 9.0469 | 0.0775 |
| 9.0938 | 0.0044 | 91 | 9.0391 | 0.0781 |
| 9.0547 | 0.0045 | 92 | 9.0312 | 0.0791 |
| 9.0703 | 0.0045 | 93 | 9.0156 | 0.0798 |
| 9.0234 | 0.0046 | 94 | 9.0078 | 0.0801 |
| 9.0547 | 0.0046 | 95 | 9.0 | 0.0803 |
| 9.0391 | 0.0046 | 96 | 8.9844 | 0.0804 |
| 9.0703 | 0.0047 | 97 | 8.9766 | 0.0805 |
| 9.0234 | 0.0047 | 98 | 8.9688 | 0.0806 |
| 8.9062 | 0.0048 | 99 | 8.9609 | 0.0810 |
| 8.9688 | 0.0048 | 100 | 8.9453 | 0.0815 |
| 8.9609 | 0.0049 | 101 | 8.9375 | 0.0818 |
| 9.0391 | 0.0049 | 102 | 8.9297 | 0.0820 |
| 8.8984 | 0.0050 | 103 | 8.9141 | 0.0821 |
| 8.9688 | 0.0050 | 104 | 8.9062 | 0.0820 |
| 8.9922 | 0.0051 | 105 | 8.8984 | 0.0819 |
| 8.9062 | 0.0051 | 106 | 8.8906 | 0.0819 |
| 8.9062 | 0.0052 | 107 | 8.875 | 0.0822 |
| 8.9609 | 0.0052 | 108 | 8.8672 | 0.0826 |
| 8.8672 | 0.0053 | 109 | 8.8594 | 0.0831 |
| 8.8828 | 0.0053 | 110 | 8.8438 | 0.0836 |
| 8.8516 | 0.0054 | 111 | 8.8359 | 0.0840 |
| 8.8828 | 0.0054 | 112 | 8.8281 | 0.0844 |
| 8.9297 | 0.0055 | 113 | 8.8203 | 0.0845 |
| 8.9062 | 0.0055 | 114 | 8.8125 | 0.0847 |
| 8.7969 | 0.0056 | 115 | 8.7969 | 0.0851 |
| 8.8203 | 0.0056 | 116 | 8.7891 | 0.0855 |
| 8.8047 | 0.0057 | 117 | 8.7812 | 0.0858 |
| 8.7422 | 0.0057 | 118 | 8.7734 | 0.0858 |
| 8.7266 | 0.0058 | 119 | 8.7656 | 0.0860 |
| 8.6953 | 0.0058 | 120 | 8.7578 | 0.0861 |
| 8.7422 | 0.0059 | 121 | 8.75 | 0.0861 |
| 8.75 | 0.0059 | 122 | 8.7344 | 0.0863 |
| 8.7422 | 0.0060 | 123 | 8.7266 | 0.0867 |
| 8.6953 | 0.0060 | 124 | 8.7188 | 0.0870 |
| 8.6328 | 0.0061 | 125 | 8.7109 | 0.0871 |
| 8.7188 | 0.0061 | 126 | 8.7031 | 0.0871 |
| 8.7891 | 0.0062 | 127 | 8.6953 | 0.0873 |
| 8.7344 | 0.0062 | 128 | 8.6875 | 0.0874 |
| 8.7578 | 0.0062 | 129 | 8.6797 | 0.0874 |
| 8.6953 | 0.0063 | 130 | 8.6641 | 0.0874 |
| 8.7266 | 0.0063 | 131 | 8.6562 | 0.0877 |
| 8.6562 | 0.0064 | 132 | 8.6484 | 0.0882 |
| 8.7188 | 0.0064 | 133 | 8.6406 | 0.0884 |
| 8.6797 | 0.0065 | 134 | 8.6328 | 0.0883 |
| 8.6562 | 0.0065 | 135 | 8.625 | 0.0883 |
| 8.6172 | 0.0066 | 136 | 8.6172 | 0.0885 |
| 8.6406 | 0.0066 | 137 | 8.6094 | 0.0889 |
| 8.6797 | 0.0067 | 138 | 8.6016 | 0.0895 |
| 8.6406 | 0.0067 | 139 | 8.5938 | 0.0901 |
| 8.6094 | 0.0068 | 140 | 8.5859 | 0.0905 |
| 8.7031 | 0.0068 | 141 | 8.5781 | 0.0906 |
| 8.6797 | 0.0069 | 142 | 8.5703 | 0.0906 |
| 8.6719 | 0.0069 | 143 | 8.5625 | 0.0905 |
| 8.5703 | 0.0070 | 144 | 8.5547 | 0.0905 |
| 8.6016 | 0.0070 | 145 | 8.5391 | 0.0907 |
| 8.5859 | 0.0071 | 146 | 8.5312 | 0.0909 |
| 8.5469 | 0.0071 | 147 | 8.5312 | 0.0911 |
| 8.5391 | 0.0072 | 148 | 8.5234 | 0.0913 |
| 8.5391 | 0.0072 | 149 | 8.5156 | 0.0915 |
| 8.5625 | 0.0073 | 150 | 8.5078 | 0.0918 |
| 8.5469 | 0.0073 | 151 | 8.5 | 0.0921 |
| 8.5234 | 0.0074 | 152 | 8.4922 | 0.0920 |
| 8.5469 | 0.0074 | 153 | 8.4844 | 0.0922 |
| 8.4766 | 0.0075 | 154 | 8.4766 | 0.0923 |
| 8.4453 | 0.0075 | 155 | 8.4688 | 0.0925 |
| 8.375 | 0.0076 | 156 | 8.4609 | 0.0929 |
| 8.5156 | 0.0076 | 157 | 8.4531 | 0.0932 |
| 8.5234 | 0.0077 | 158 | 8.4453 | 0.0934 |
| 8.4844 | 0.0077 | 159 | 8.4375 | 0.0936 |
| 8.5 | 0.0077 | 160 | 8.4297 | 0.0938 |
| 8.3984 | 0.0078 | 161 | 8.4219 | 0.0936 |
| 8.5156 | 0.0078 | 162 | 8.4219 | 0.0935 |
| 8.4453 | 0.0079 | 163 | 8.4141 | 0.0934 |
| 8.4375 | 0.0079 | 164 | 8.4062 | 0.0937 |
| 8.4297 | 0.0080 | 165 | 8.3984 | 0.0944 |
| 8.4453 | 0.0080 | 166 | 8.3906 | 0.0953 |
| 8.4453 | 0.0081 | 167 | 8.3828 | 0.0961 |
| 8.3828 | 0.0081 | 168 | 8.375 | 0.0963 |
| 8.3828 | 0.0082 | 169 | 8.3672 | 0.0964 |
| 8.4297 | 0.0082 | 170 | 8.3594 | 0.0963 |
| 8.3828 | 0.0083 | 171 | 8.3516 | 0.0963 |
| 8.3984 | 0.0083 | 172 | 8.3438 | 0.0965 |
| 8.4375 | 0.0084 | 173 | 8.3359 | 0.0967 |
| 8.3906 | 0.0084 | 174 | 8.3281 | 0.0970 |
| 8.2578 | 0.0085 | 175 | 8.3203 | 0.0973 |
| 8.2891 | 0.0085 | 176 | 8.3203 | 0.0976 |
| 8.3125 | 0.0086 | 177 | 8.3125 | 0.0978 |
| 8.3359 | 0.0086 | 178 | 8.3047 | 0.0981 |
| 8.375 | 0.0087 | 179 | 8.2969 | 0.0982 |
| 8.3125 | 0.0087 | 180 | 8.2891 | 0.0982 |
| 8.2656 | 0.0088 | 181 | 8.2812 | 0.0981 |
| 8.2812 | 0.0088 | 182 | 8.2734 | 0.0980 |
| 8.3203 | 0.0089 | 183 | 8.2656 | 0.0979 |
| 8.2344 | 0.0089 | 184 | 8.2656 | 0.0979 |
| 8.3203 | 0.0090 | 185 | 8.2578 | 0.0982 |
| 8.2422 | 0.0090 | 186 | 8.25 | 0.0986 |
| 8.2344 | 0.0091 | 187 | 8.2422 | 0.0990 |
| 8.2891 | 0.0091 | 188 | 8.2344 | 0.0995 |
| 8.1875 | 0.0092 | 189 | 8.2266 | 0.0997 |
| 8.2188 | 0.0092 | 190 | 8.2266 | 0.0997 |
| 8.1953 | 0.0093 | 191 | 8.2188 | 0.0994 |
| 8.2578 | 0.0093 | 192 | 8.2109 | 0.0991 |
| 8.2188 | 0.0093 | 193 | 8.2031 | 0.0991 |
| 8.2812 | 0.0094 | 194 | 8.1953 | 0.0991 |
| 8.1328 | 0.0094 | 195 | 8.1875 | 0.0992 |
| 8.2578 | 0.0095 | 196 | 8.1875 | 0.0992 |
| 8.1719 | 0.0095 | 197 | 8.1797 | 0.0996 |
| 8.1953 | 0.0096 | 198 | 8.1719 | 0.1000 |
| 8.1875 | 0.0096 | 199 | 8.1641 | 0.1002 |
| 8.1953 | 0.0097 | 200 | 8.1562 | 0.1006 |
| 8.1406 | 0.0097 | 201 | 8.1562 | 0.1008 |
| 8.1797 | 0.0098 | 202 | 8.1484 | 0.1008 |
| 8.1484 | 0.0098 | 203 | 8.1406 | 0.1006 |
| 8.1719 | 0.0099 | 204 | 8.1328 | 0.1004 |
| 8.1641 | 0.0099 | 205 | 8.125 | 0.1002 |
| 8.2422 | 0.0100 | 206 | 8.125 | 0.1002 |
| 8.0703 | 0.0100 | 207 | 8.1172 | 0.1005 |
| 8.1328 | 0.0101 | 208 | 8.1094 | 0.1011 |
| 8.1562 | 0.0101 | 209 | 8.1016 | 0.1016 |
| 8.1797 | 0.0102 | 210 | 8.1016 | 0.1020 |
| 8.1641 | 0.0102 | 211 | 8.0938 | 0.1022 |
| 8.1016 | 0.0103 | 212 | 8.0859 | 0.1022 |
| 8.1719 | 0.0103 | 213 | 8.0781 | 0.1020 |
| 8.1094 | 0.0104 | 214 | 8.0703 | 0.1017 |
| 8.0469 | 0.0104 | 215 | 8.0703 | 0.1016 |
| 8.0859 | 0.0105 | 216 | 8.0625 | 0.1019 |
| 8.0625 | 0.0105 | 217 | 8.0547 | 0.1023 |
| 8.1406 | 0.0106 | 218 | 8.0547 | 0.1025 |
| 8.0547 | 0.0106 | 219 | 8.0469 | 0.1027 |
| 8.0234 | 0.0107 | 220 | 8.0391 | 0.1029 |
| 8.0469 | 0.0107 | 221 | 8.0391 | 0.1029 |
| 8.0312 | 0.0108 | 222 | 8.0312 | 0.1029 |
| 8.0391 | 0.0108 | 223 | 8.0234 | 0.1028 |
| 8.0391 | 0.0108 | 224 | 8.0156 | 0.1029 |
| 8.0859 | 0.0109 | 225 | 8.0156 | 0.1029 |
| 8.0391 | 0.0109 | 226 | 8.0078 | 0.1028 |
| 7.9883 | 0.0110 | 227 | 8.0 | 0.1028 |
| 8.0625 | 0.0110 | 228 | 7.9961 | 0.1029 |
| 8.1094 | 0.0111 | 229 | 7.9883 | 0.1032 |
| 8.0391 | 0.0111 | 230 | 7.9844 | 0.1034 |
| 8.0078 | 0.0112 | 231 | 7.9805 | 0.1037 |
| 8.0859 | 0.0112 | 232 | 7.9727 | 0.1039 |
| 7.9961 | 0.0113 | 233 | 7.9688 | 0.1039 |
| 8.0312 | 0.0113 | 234 | 7.9648 | 0.1039 |
| 8.0391 | 0.0114 | 235 | 7.9570 | 0.1037 |
| 7.9609 | 0.0114 | 236 | 7.9531 | 0.1037 |
| 7.9336 | 0.0115 | 237 | 7.9492 | 0.1038 |
| 7.9258 | 0.0115 | 238 | 7.9453 | 0.1040 |
| 7.9531 | 0.0116 | 239 | 7.9375 | 0.1042 |
| 7.9805 | 0.0116 | 240 | 7.9336 | 0.1045 |
| 8.0078 | 0.0117 | 241 | 7.9297 | 0.1048 |
| 7.8906 | 0.0117 | 242 | 7.9258 | 0.1051 |
| 7.9727 | 0.0118 | 243 | 7.9180 | 0.1054 |
| 7.9336 | 0.0118 | 244 | 7.9141 | 0.1055 |
| 7.9375 | 0.0119 | 245 | 7.9062 | 0.1055 |
| 7.9922 | 0.0119 | 246 | 7.9023 | 0.1054 |
| 7.9609 | 0.0120 | 247 | 7.8984 | 0.1053 |
| 7.8945 | 0.0120 | 248 | 7.8906 | 0.1053 |
| 7.8203 | 0.0121 | 249 | 7.8867 | 0.1055 |
| 7.8984 | 0.0121 | 250 | 7.8828 | 0.1057 |
| 7.9023 | 0.0122 | 251 | 7.8789 | 0.1058 |
| 7.918 | 0.0122 | 252 | 7.875 | 0.1058 |
| 7.832 | 0.0123 | 253 | 7.8672 | 0.1058 |
| 7.9609 | 0.0123 | 254 | 7.8633 | 0.1056 |
| 7.9531 | 0.0124 | 255 | 7.8594 | 0.1057 |
| 7.8125 | 0.0124 | 256 | 7.8555 | 0.1059 |
| 7.9648 | 0.0124 | 257 | 7.8516 | 0.1066 |
| 7.832 | 0.0125 | 258 | 7.8438 | 0.1068 |
| 7.8008 | 0.0125 | 259 | 7.8398 | 0.1069 |
| 7.8281 | 0.0126 | 260 | 7.8359 | 0.1069 |
| 7.8477 | 0.0126 | 261 | 7.8320 | 0.1069 |
| 7.8086 | 0.0127 | 262 | 7.8281 | 0.1069 |
| 7.8281 | 0.0127 | 263 | 7.8203 | 0.1069 |
| 7.8906 | 0.0128 | 264 | 7.8164 | 0.1067 |
| 7.8477 | 0.0128 | 265 | 7.8125 | 0.1067 |
| 7.8867 | 0.0129 | 266 | 7.8086 | 0.1067 |
| 7.8359 | 0.0129 | 267 | 7.8047 | 0.1069 |
| 7.7969 | 0.0130 | 268 | 7.8008 | 0.1074 |
| 7.8711 | 0.0130 | 269 | 7.7969 | 0.1079 |
| 7.7656 | 0.0131 | 270 | 7.7930 | 0.1081 |
| 7.8008 | 0.0131 | 271 | 7.7852 | 0.1080 |
| 7.8594 | 0.0132 | 272 | 7.7812 | 0.1079 |
| 7.8125 | 0.0132 | 273 | 7.7773 | 0.1077 |
| 7.7617 | 0.0133 | 274 | 7.7734 | 0.1075 |
| 7.7227 | 0.0133 | 275 | 7.7695 | 0.1074 |
| 7.8164 | 0.0134 | 276 | 7.7656 | 0.1077 |
| 7.7383 | 0.0134 | 277 | 7.7617 | 0.1081 |
| 7.8984 | 0.0135 | 278 | 7.7578 | 0.1085 |
| 7.793 | 0.0135 | 279 | 7.7539 | 0.1088 |
| 7.707 | 0.0136 | 280 | 7.75 | 0.1088 |
| 7.8086 | 0.0136 | 281 | 7.7422 | 0.1088 |
| 7.7773 | 0.0137 | 282 | 7.7383 | 0.1088 |
| 7.6875 | 0.0137 | 283 | 7.7344 | 0.1087 |
| 7.7188 | 0.0138 | 284 | 7.7305 | 0.1088 |
| 7.7539 | 0.0138 | 285 | 7.7266 | 0.1091 |
| 7.8008 | 0.0139 | 286 | 7.7227 | 0.1094 |
| 7.7578 | 0.0139 | 287 | 7.7188 | 0.1097 |
| 7.7148 | 0.0139 | 288 | 7.7148 | 0.1099 |
| 7.7266 | 0.0140 | 289 | 7.7109 | 0.1100 |
| 7.7031 | 0.0140 | 290 | 7.7070 | 0.1099 |
| 7.7383 | 0.0141 | 291 | 7.7031 | 0.1098 |
| 7.7266 | 0.0141 | 292 | 7.6953 | 0.1098 |
| 7.75 | 0.0142 | 293 | 7.6914 | 0.1100 |
| 7.7031 | 0.0142 | 294 | 7.6914 | 0.1102 |
| 7.7305 | 0.0143 | 295 | 7.6875 | 0.1103 |
| 7.7188 | 0.0143 | 296 | 7.6836 | 0.1104 |
| 7.6719 | 0.0144 | 297 | 7.6797 | 0.1105 |
| 7.6289 | 0.0144 | 298 | 7.6758 | 0.1108 |
| 7.6719 | 0.0145 | 299 | 7.6719 | 0.1110 |
| 7.7695 | 0.0145 | 300 | 7.6641 | 0.1111 |
| 7.7812 | 0.0146 | 301 | 7.6602 | 0.1109 |
| 7.707 | 0.0146 | 302 | 7.6562 | 0.1110 |
| 7.7539 | 0.0147 | 303 | 7.6523 | 0.1111 |
| 7.5898 | 0.0147 | 304 | 7.6523 | 0.1114 |
| 7.668 | 0.0148 | 305 | 7.6484 | 0.1116 |
| 7.6602 | 0.0148 | 306 | 7.6445 | 0.1116 |
| 7.6953 | 0.0149 | 307 | 7.6406 | 0.1117 |
| 7.7031 | 0.0149 | 308 | 7.6367 | 0.1118 |
| 7.6914 | 0.0150 | 309 | 7.6328 | 0.1120 |
| 7.582 | 0.0150 | 310 | 7.6289 | 0.1119 |
| 7.6445 | 0.0151 | 311 | 7.625 | 0.1118 |
| 7.5234 | 0.0151 | 312 | 7.6211 | 0.1118 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.20.0
- Tokenizers 0.19.1
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