LM1B small baseline step 20000: checkpoint and evaluation
Browse files- lm1b-ncp-small-released12-c60-0125-v1/checkpoint-iter-20000.pt +3 -0
- lm1b-ncp-small-released12-c60-0125-v1/ema-iter-20000.pt +3 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-123.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-2024.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-42.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-7.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-99.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/summary.json +36 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-123.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-2024.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-42.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-7.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-99.json +0 -0
- lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/summary.json +36 -0
lm1b-ncp-small-released12-c60-0125-v1/checkpoint-iter-20000.pt
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size 1166863247
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lm1b-ncp-small-released12-c60-0125-v1/ema-iter-20000.pt
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-123.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-2024.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-42.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-7.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/seed-99.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/ema/summary.json
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{
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"step": 20000,
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"weights": "ema",
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"samples_per_seed": 256,
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"seeds": [
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"gen_ppl_mean": 258.23572317058137,
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"gen_ppl_se": 4.385108635371138,
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"gen_ppl_pooled": 258.0853098630785,
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"clean_text_gen_ppl_mean": 459.2020670635536,
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"bert_entropy_mean": 4.202343889959934,
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"protocol": {
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"name": "flm-lm1b-128",
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"flm_source_commit": "a1918d5164e5038e37d0b7a4fb2010ce75b863b3",
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"reference_model": "openai-community/gpt2-large",
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"reference_revision": "32b71b12589c2f8d625668d2335a01cac3249519",
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"reference_dtype": "float32",
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"generation_dtype": "float32",
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"tf32": false,
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"provided_levels": 0,
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"temperature": 1.0,
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"top_k": 0,
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"top_p": 1.0,
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"decode": "literal BERT special tokens, cleanup disabled, no EOS stopping",
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"reference_max_length": 128,
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"reference_bos": false,
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"reference_eos": "first EOS padding token included, matching FLM",
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"aggregation": "exp(sum NLL / sum scored tokens)",
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"clean_text_diagnostic": "special IDs removed, no GPT-2 EOS included, score full decoded text"
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}
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}
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-123.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-2024.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-42.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-7.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/seed-99.json
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lm1b-ncp-small-released12-c60-0125-v1/evaluation/step-20000/raw/summary.json
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{
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"step": 20000,
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"weights": "raw",
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"samples_per_seed": 256,
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"seeds": [
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"gen_ppl_mean": 160.43574464532446,
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"gen_ppl_se": 2.40483210707702,
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"gen_ppl_pooled": 160.36428058996756,
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"clean_text_gen_ppl_mean": 287.70136947989107,
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"bert_entropy_mean": 4.207596874038416,
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"protocol": {
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"name": "flm-lm1b-128",
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"flm_source_commit": "a1918d5164e5038e37d0b7a4fb2010ce75b863b3",
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"reference_model": "openai-community/gpt2-large",
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"reference_revision": "32b71b12589c2f8d625668d2335a01cac3249519",
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"reference_dtype": "float32",
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"generation_dtype": "float32",
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"tf32": false,
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"provided_levels": 0,
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"temperature": 1.0,
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| 27 |
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"top_k": 0,
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"top_p": 1.0,
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| 29 |
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"decode": "literal BERT special tokens, cleanup disabled, no EOS stopping",
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"reference_max_length": 128,
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| 31 |
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"reference_bos": false,
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| 32 |
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"reference_eos": "first EOS padding token included, matching FLM",
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| 33 |
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"aggregation": "exp(sum NLL / sum scored tokens)",
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| 34 |
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"clean_text_diagnostic": "special IDs removed, no GPT-2 EOS included, score full decoded text"
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| 35 |
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}
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}
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