Upload 8 files
Browse files- .gitattributes +1 -0
- config.json +3 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- results.txt +47 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.json +0 -0
.gitattributes
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@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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config.json filter=lfs diff=lfs merge=lfs -text
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config.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:10823eebda46de0691dd95708759a6491756dfb5ff4a88a395310b1fc90de43e
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size 502149120
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:236366f2eb83f61f8b4cf71f5f66e0f787a9779a13c4b6f91d94e3976b949572
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size 498772789
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results.txt
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{"f1_micro": 0.6042841037204059, "f1_macro": 0.58999731368133, "p_macro": 0.5824760127594218, "p_micro": 0.5925925925925926, "r_macro": 0.6598429973636707, "r_micro": 0.61644623346751}
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precision recall f1-score support
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admiration 0.7660 0.3273 0.4586 110
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amusement 0.7188 0.8846 0.7931 52
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anger 0.7231 0.6528 0.6861 72
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annoyance 0.5250 0.7368 0.6131 57
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approval 0.8276 0.4898 0.6154 98
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boredom 0.6486 0.9057 0.7559 53
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calmness 0.6981 0.8222 0.7551 45
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caring 0.7222 0.8125 0.7647 64
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courage 0.5254 0.7381 0.6139 42
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curiosity 0.7778 0.8358 0.8058 67
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desire 0.7922 0.7531 0.7722 81
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despair 0.7619 0.7273 0.7442 44
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disappointment 0.4359 0.4359 0.4359 39
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disapproval 0.5273 0.2613 0.3494 111
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disgust 0.7714 0.3750 0.5047 72
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doubt 0.6000 0.4186 0.4932 43
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embarrassment 0.4828 0.6364 0.5490 22
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envy 0.3171 0.9286 0.4727 14
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excitement 0.5918 0.7632 0.6667 38
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faith 0.3846 0.7692 0.5128 13
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fear 0.4167 0.3846 0.4000 39
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frustration 0.5833 0.6481 0.6140 54
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gratitude 0.2333 0.5000 0.3182 14
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greed 0.6296 0.6800 0.6538 25
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grief 0.2727 0.8571 0.4138 14
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guilt 0.4783 0.8462 0.6111 13
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indifference 0.6200 0.8378 0.7126 37
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joy 0.7576 0.4098 0.5319 61
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love 0.6415 0.6800 0.6602 50
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nervousness 0.5000 0.5000 0.5000 24
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nostalgia 0.2547 0.9310 0.4000 29
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optimism 0.5000 0.3784 0.4308 37
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pain 0.3784 0.6364 0.4746 22
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pride 0.5152 0.6296 0.5667 27
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relief 0.5366 0.8800 0.6667 25
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sadness 0.6591 0.5577 0.6042 52
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surprise 0.7647 0.7222 0.7429 36
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trust 0.7949 0.7209 0.7561 43
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micro avg 0.5926 0.6164 0.6043 1739
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macro avg 0.5825 0.6598 0.5900 1739
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weighted avg 0.6415 0.6164 0.6016 1739
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samples avg 0.6462 0.6390 0.5937 1739
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"name_or_path": "roberta-base",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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vocab.json
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The diff for this file is too large to render.
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