Saving weights and logs of epoch 3 - step 5100
Browse files- ckpt_epoch_3_step_5100/config.json +169 -0
- ckpt_epoch_3_step_5100/flax_model.msgpack +3 -0
- ckpt_epoch_3_step_5100/generation_eval.json +0 -0
- ckpt_epoch_3_step_5100/merges.txt +0 -0
- ckpt_epoch_3_step_5100/special_tokens_map.json +1 -0
- ckpt_epoch_3_step_5100/tokenizer.json +0 -0
- ckpt_epoch_3_step_5100/tokenizer_config.json +1 -0
- ckpt_epoch_3_step_5100/vocab.json +0 -0
- events.out.tfevents.1633443513.t1v-n-bb5dfd23-w-0.8655.0.v2 +2 -2
- report.txt +32 -0
ckpt_epoch_3_step_5100/config.json
ADDED
@@ -0,0 +1,169 @@
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ckpt_epoch_3_step_5100/flax_model.msgpack
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:06524be4de0532bc9f6d74e4f00456689f3c999d48021d8ce64f517d3a8c3180
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size 956799284
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ckpt_epoch_3_step_5100/generation_eval.json
ADDED
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ckpt_epoch_3_step_5100/merges.txt
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ckpt_epoch_3_step_5100/special_tokens_map.json
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{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>", "pad_token": "<|endoftext|>"}
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ckpt_epoch_3_step_5100/tokenizer.json
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ckpt_epoch_3_step_5100/tokenizer_config.json
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"}
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ckpt_epoch_3_step_5100/vocab.json
ADDED
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events.out.tfevents.1633443513.t1v-n-bb5dfd23-w-0.8655.0.v2
CHANGED
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version https://git-lfs.github.com/spec/v1
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size 3363347
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report.txt
CHANGED
@@ -514,3 +514,35 @@ Epoch... (3/30 | Step: 4790 | Loss: 1.8843146562576294, Learning Rate: 2.7924143
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Epoch... (3/30 | Step: 4800 | Loss: 1.8721106052398682, Learning Rate: 2.7919808417209424e-05)
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Epoch... (3/30 | Step: 4800 | Loss: 1.8721106052398682, Learning Rate: 2.7919808417209424e-05)
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Epoch... (3/30 | Step: 4800 | Eval Loss: 1.945229411125183 | Eval rouge1: 41.4206 | Eval rouge2: 15.7017 | Eval rougeL: 37.6112 | Eval rougeLsum: 37.6064 | Eval gen_len: 11.2409 |)
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Epoch... (3/30 | Step: 4800 | Loss: 1.8721106052398682, Learning Rate: 2.7919808417209424e-05)
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Epoch... (3/30 | Step: 4800 | Loss: 1.8721106052398682, Learning Rate: 2.7919808417209424e-05)
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Epoch... (3/30 | Step: 4800 | Eval Loss: 1.945229411125183 | Eval rouge1: 41.4206 | Eval rouge2: 15.7017 | Eval rougeL: 37.6112 | Eval rougeLsum: 37.6064 | Eval gen_len: 11.2409 |)
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Epoch... (3/30 | Step: 4810 | Loss: 1.8651959896087646, Learning Rate: 2.7915473765460774e-05)
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Epoch... (3/30 | Step: 4820 | Loss: 1.7777526378631592, Learning Rate: 2.7911139113712125e-05)
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Epoch... (3/30 | Step: 4830 | Loss: 1.7878971099853516, Learning Rate: 2.7906804461963475e-05)
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Epoch... (3/30 | Step: 4840 | Loss: 1.9086028337478638, Learning Rate: 2.7902469810214825e-05)
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Epoch... (3/30 | Step: 4850 | Loss: 1.85693359375, Learning Rate: 2.7898135158466175e-05)
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Epoch... (3/30 | Step: 4860 | Loss: 1.829287052154541, Learning Rate: 2.7893800506717525e-05)
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Epoch... (3/30 | Step: 4870 | Loss: 1.8359487056732178, Learning Rate: 2.7889465854968876e-05)
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Epoch... (3/30 | Step: 4880 | Loss: 1.8283047676086426, Learning Rate: 2.7885131203220226e-05)
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Epoch... (3/30 | Step: 4890 | Loss: 1.8907103538513184, Learning Rate: 2.7880796551471576e-05)
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Epoch... (3/30 | Step: 4900 | Loss: 1.900670051574707, Learning Rate: 2.7876461899722926e-05)
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Epoch... (3/30 | Step: 4910 | Loss: 1.8678079843521118, Learning Rate: 2.7872127247974277e-05)
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Epoch... (3/30 | Step: 4920 | Loss: 1.8865406513214111, Learning Rate: 2.7867792596225627e-05)
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Epoch... (3/30 | Step: 4930 | Loss: 1.8659296035766602, Learning Rate: 2.786345976346638e-05)
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Epoch... (3/30 | Step: 4940 | Loss: 1.8259683847427368, Learning Rate: 2.785912511171773e-05)
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Epoch... (3/30 | Step: 4950 | Loss: 1.9121265411376953, Learning Rate: 2.785479045996908e-05)
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Epoch... (3/30 | Step: 4960 | Loss: 1.7606853246688843, Learning Rate: 2.7850453989231028e-05)
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Epoch... (3/30 | Step: 4970 | Loss: 1.9108521938323975, Learning Rate: 2.7846119337482378e-05)
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Epoch... (3/30 | Step: 4980 | Loss: 1.7965797185897827, Learning Rate: 2.7841784685733728e-05)
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Epoch... (3/30 | Step: 4990 | Loss: 1.8254327774047852, Learning Rate: 2.783745003398508e-05)
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Epoch... (3/30 | Step: 5000 | Loss: 1.8682160377502441, Learning Rate: 2.783311538223643e-05)
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Epoch... (3/30 | Step: 5010 | Loss: 1.887736439704895, Learning Rate: 2.782878073048778e-05)
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Epoch... (3/30 | Step: 5020 | Loss: 1.9222376346588135, Learning Rate: 2.7824447897728533e-05)
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Epoch... (3/30 | Step: 5030 | Loss: 1.8068890571594238, Learning Rate: 2.7820113245979883e-05)
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Epoch... (3/30 | Step: 5040 | Loss: 1.877018928527832, Learning Rate: 2.781577677524183e-05)
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Epoch... (3/30 | Step: 5050 | Loss: 1.818298578262329, Learning Rate: 2.781144212349318e-05)
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Epoch... (3/30 | Step: 5060 | Loss: 1.7829349040985107, Learning Rate: 2.780710747174453e-05)
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Epoch... (3/30 | Step: 5070 | Loss: 1.859926462173462, Learning Rate: 2.780277281999588e-05)
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Epoch... (3/30 | Step: 5080 | Loss: 1.8778877258300781, Learning Rate: 2.779843816824723e-05)
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Epoch... (3/30 | Step: 5090 | Loss: 1.8129793405532837, Learning Rate: 2.779410351649858e-05)
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Epoch... (3/30 | Step: 5100 | Loss: 1.9016380310058594, Learning Rate: 2.778976886474993e-05)
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Epoch... (3/30 | Step: 5100 | Loss: 1.9016380310058594, Learning Rate: 2.778976886474993e-05)
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Epoch... (3/30 | Step: 5100 | Eval Loss: 1.9427725076675415 | Eval rouge1: 41.2198 | Eval rouge2: 15.6318 | Eval rougeL: 37.4398 | Eval rougeLsum: 37.4436 | Eval gen_len: 11.1195 |)
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