Training in progress, step 800
Browse files- config.json +1 -1
- merges.txt +0 -0
- pytorch_model.bin +1 -1
- runs/Mar30_21-53-59_sc-aniemore/events.out.tfevents.1680202443.sc-aniemore.1127098.0 +2 -2
- runs/Mar31_01-41-57_sc-aniemore/1680216123.7501953/events.out.tfevents.1680216123.sc-aniemore.1208748.1 +3 -0
- runs/Mar31_01-41-57_sc-aniemore/events.out.tfevents.1680216123.sc-aniemore.1208748.0 +3 -0
- runs/Mar31_01-44-21_sc-aniemore/1680216266.0447404/events.out.tfevents.1680216266.sc-aniemore.1210043.1 +3 -0
- runs/Mar31_01-44-21_sc-aniemore/events.out.tfevents.1680216266.sc-aniemore.1210043.0 +3 -0
- runs/Mar31_01-48-24_sc-aniemore/1680216509.0365024/events.out.tfevents.1680216509.sc-aniemore.1211649.1 +3 -0
- runs/Mar31_01-48-24_sc-aniemore/events.out.tfevents.1680216509.sc-aniemore.1211649.0 +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
- training_args.bin +1 -1
- vocab.json +0 -0
config.json
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx":
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 128,
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"n_embd": 768,
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"n_head": 12,
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merges.txt
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pytorch_model.bin
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runs/Mar30_21-53-59_sc-aniemore/events.out.tfevents.1680202443.sc-aniemore.1127098.0
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runs/Mar31_01-41-57_sc-aniemore/1680216123.7501953/events.out.tfevents.1680216123.sc-aniemore.1208748.1
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runs/Mar31_01-44-21_sc-aniemore/events.out.tfevents.1680216266.sc-aniemore.1210043.0
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runs/Mar31_01-48-24_sc-aniemore/1680216509.0365024/events.out.tfevents.1680216509.sc-aniemore.1211649.1
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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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": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"special_tokens_map_file": null,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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training_args.bin
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vocab.json
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