Model save
Browse files- .gitattributes +1 -0
- .gitignore +1 -0
- config.json +31 -0
- generation_config.json +6 -0
- pytorch_model.bin +3 -0
- runs/Mar17_07-42-30_6f1546a737f5/1679038955.088603/events.out.tfevents.1679038955.6f1546a737f5.152.1 +3 -0
- runs/Mar17_07-42-30_6f1546a737f5/events.out.tfevents.1679038955.6f1546a737f5.152.0 +3 -0
- runs/Mar17_08-04-50_6f1546a737f5/1679040298.4031527/events.out.tfevents.1679040298.6f1546a737f5.6527.1 +3 -0
- runs/Mar17_08-04-50_6f1546a737f5/1679040529.9523685/events.out.tfevents.1679040529.6f1546a737f5.6527.2 +3 -0
- runs/Mar17_08-04-50_6f1546a737f5/1679040707.674734/events.out.tfevents.1679040707.6f1546a737f5.6527.3 +3 -0
- runs/Mar17_08-04-50_6f1546a737f5/events.out.tfevents.1679040298.6f1546a737f5.6527.0 +3 -0
- runs/Mar17_08-15-16_6f1546a737f5/1679040921.9351985/events.out.tfevents.1679040921.6f1546a737f5.6527.5 +3 -0
- runs/Mar17_08-15-16_6f1546a737f5/events.out.tfevents.1679040921.6f1546a737f5.6527.4 +3 -0
- runs/Mar17_08-19-05_6f1546a737f5/1679041150.2901378/events.out.tfevents.1679041150.6f1546a737f5.10018.1 +3 -0
- runs/Mar17_08-19-05_6f1546a737f5/events.out.tfevents.1679041150.6f1546a737f5.10018.0 +3 -0
- runs/Mar17_08-19-05_6f1546a737f5/events.out.tfevents.1679042290.6f1546a737f5.10018.2 +3 -0
- special_tokens_map.json +5 -0
- spiece.model +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +11 -0
- training_args.bin +3 -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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "google/mt5-small",
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"architectures": [
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"MT5ForConditionalGeneration"
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],
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"d_ff": 1024,
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"d_kv": 64,
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"layer_norm_epsilon": 1e-06,
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"model_type": "mt5",
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"num_decoder_layers": 8,
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"num_heads": 6,
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"num_layers": 8,
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"relative_attention_max_distance": 128,
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"tie_word_embeddings": false,
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"tokenizer_class": "T5Tokenizer",
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"use_cache": true,
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"vocab_size": 250112
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}
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generation_config.json
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tokenizer_config.json
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training_args.bin
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