Theoreticallyhugo
commited on
Commit
•
05c5788
1
Parent(s):
f8c2f78
Training in progress, epoch 1
Browse files- config.json +1 -1
- meta_data/meta_s42_e1_cvi0.json +1 -1
- meta_data/meta_s42_e2_cvi0.json +1 -1
- meta_data/meta_s42_e3_cvi0.json +1 -1
- meta_data/meta_s42_e4_cvi0.json +1 -1
- meta_data/meta_s42_e5_cvi0.json +1 -1
- model.safetensors +1 -1
- training_args.bin +2 -2
config.json
CHANGED
@@ -47,7 +47,7 @@
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"pad_token_id": 1,
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"sep_token_id": 2,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 1,
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"vocab_size": 50265
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}
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"pad_token_id": 1,
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"sep_token_id": 2,
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"torch_dtype": "float32",
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+
"transformers_version": "4.46.0",
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"type_vocab_size": 1,
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"vocab_size": 50265
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}
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meta_data/meta_s42_e1_cvi0.json
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@@ -1 +1 @@
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{"B": {"precision": 0.
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{"B": {"precision": 0.8258258258258259, "recall": 0.7281553398058253, "f1-score": 0.773921200750469, "support": 1133.0}, "I": {"precision": 0.9305934158104424, "recall": 0.9712753734201456, "f1-score": 0.9504992905522983, "support": 18277.0}, "O": {"precision": 0.9388199433921185, "recall": 0.8754441173484926, "f1-score": 0.9060251089982665, "support": 9851.0}, "accuracy": 0.9295991251153413, "macro avg": {"precision": 0.8984130616761289, "recall": 0.8582916101914878, "f1-score": 0.8768152001003445, "support": 29261.0}, "weighted avg": {"precision": 0.9293063047668868, "recall": 0.9295991251153413, "f1-score": 0.9286894365406706, "support": 29261.0}}
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meta_data/meta_s42_e2_cvi0.json
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@@ -1 +1 @@
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{"B": {"precision": 0.
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{"B": {"precision": 0.7817781043350478, "recall": 0.93909973521624, "f1-score": 0.8532477947072975, "support": 1133.0}, "I": {"precision": 0.9750846901977925, "recall": 0.9764184494173004, "f1-score": 0.9757511140271741, "support": 18277.0}, "O": {"precision": 0.9661387789122734, "recall": 0.9413257537305857, "f1-score": 0.9535708776800864, "support": 9851.0}, "accuracy": 0.9631591538224941, "macro avg": {"precision": 0.9076671911483712, "recall": 0.9522813127880422, "f1-score": 0.927523262138186, "support": 29261.0}, "weighted avg": {"precision": 0.9645880382085871, "recall": 0.9631591538224941, "f1-score": 0.9635405344487392, "support": 29261.0}}
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meta_data/meta_s42_e3_cvi0.json
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@@ -1 +1 @@
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{"B": {"precision": 0.
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{"B": {"precision": 0.8751054852320675, "recall": 0.9152691968225949, "f1-score": 0.8947368421052632, "support": 1133.0}, "I": {"precision": 0.9870288248337029, "recall": 0.9742299064397877, "f1-score": 0.9805876036016191, "support": 18277.0}, "O": {"precision": 0.9561578318055002, "recall": 0.9741143031164349, "f1-score": 0.9650525468899281, "support": 9851.0}, "accuracy": 0.9719080004101022, "macro avg": {"precision": 0.9394307139570902, "recall": 0.9545378021262724, "f1-score": 0.9467923308656035, "support": 29261.0}, "weighted avg": {"precision": 0.972302079469926, "recall": 0.9719080004101022, "f1-score": 0.9720333929990342, "support": 29261.0}}
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meta_data/meta_s42_e4_cvi0.json
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@@ -1 +1 @@
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{"B": {"precision": 0.
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{"B": {"precision": 0.8817021276595745, "recall": 0.9143865842894969, "f1-score": 0.8977469670710572, "support": 1133.0}, "I": {"precision": 0.9845409033393849, "recall": 0.9791541281391913, "f1-score": 0.9818401272837, "support": 18277.0}, "O": {"precision": 0.9638712281764052, "recall": 0.9695462389605116, "f1-score": 0.9667004048582996, "support": 9851.0}, "accuracy": 0.9734117084173474, "macro avg": {"precision": 0.9433714197251216, "recall": 0.9543623171297333, "f1-score": 0.9487624997376857, "support": 29261.0}, "weighted avg": {"precision": 0.9736002894548376, "recall": 0.9734117084173474, "f1-score": 0.9734870649777793, "support": 29261.0}}
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meta_data/meta_s42_e5_cvi0.json
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@@ -1 +1 @@
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{"B": {"precision": 0.
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{"B": {"precision": 0.8258258258258259, "recall": 0.7281553398058253, "f1-score": 0.773921200750469, "support": 1133.0}, "I": {"precision": 0.9305934158104424, "recall": 0.9712753734201456, "f1-score": 0.9504992905522983, "support": 18277.0}, "O": {"precision": 0.9388199433921185, "recall": 0.8754441173484926, "f1-score": 0.9060251089982665, "support": 9851.0}, "accuracy": 0.9295991251153413, "macro avg": {"precision": 0.8984130616761289, "recall": 0.8582916101914878, "f1-score": 0.8768152001003445, "support": 29261.0}, "weighted avg": {"precision": 0.9293063047668868, "recall": 0.9295991251153413, "f1-score": 0.9286894365406706, "support": 29261.0}}
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model.safetensors
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@@ -1,3 +1,3 @@
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size 592318676
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training_args.bin
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