Saving weights and logs of epoch 1 - step 600
Browse files- ckpt_epoch_1_step_600/config.json +169 -0
- ckpt_epoch_1_step_600/flax_model.msgpack +3 -0
- ckpt_epoch_1_step_600/generation_eval.json +0 -0
- ckpt_epoch_1_step_600/merges.txt +0 -0
- ckpt_epoch_1_step_600/special_tokens_map.json +1 -0
- ckpt_epoch_1_step_600/tokenizer.json +0 -0
- ckpt_epoch_1_step_600/tokenizer_config.json +1 -0
- ckpt_epoch_1_step_600/vocab.json +0 -0
- events.out.tfevents.1633443513.t1v-n-bb5dfd23-w-0.8655.0.v2 +2 -2
- report.txt +32 -0
ckpt_epoch_1_step_600/config.json
ADDED
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ckpt_epoch_1_step_600/flax_model.msgpack
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:5fdc64df991b95360f18f2c1c957cfb20109e3cc8e7212699b7ebe8338a076bc
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size 956799284
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ckpt_epoch_1_step_600/generation_eval.json
ADDED
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ckpt_epoch_1_step_600/merges.txt
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ckpt_epoch_1_step_600/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_1_step_600/tokenizer.json
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ckpt_epoch_1_step_600/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_1_step_600/vocab.json
ADDED
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events.out.tfevents.1633443513.t1v-n-bb5dfd23-w-0.8655.0.v2
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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size 132814
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report.txt
CHANGED
@@ -30,3 +30,35 @@ Epoch... (1/30 | Step: 290 | Loss: 2.36462140083313, Learning Rate: 2.9874727260
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Epoch... (1/30 | Step: 300 | Loss: 2.4654769897460938, Learning Rate: 2.9870392609154806e-05)
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Epoch... (1/30 | Step: 300 | Loss: 2.4654769897460938, Learning Rate: 2.9870392609154806e-05)
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Epoch... (1/30 | Step: 300 | Eval Loss: 2.3369832038879395 | Eval rouge1: 36.6481 | Eval rouge2: 12.0172 | Eval rougeL: 33.4031 | Eval rougeLsum: 33.4031 | Eval gen_len: 10.6758 |)
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Epoch... (1/30 | Step: 300 | Loss: 2.4654769897460938, Learning Rate: 2.9870392609154806e-05)
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Epoch... (1/30 | Step: 300 | Loss: 2.4654769897460938, Learning Rate: 2.9870392609154806e-05)
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Epoch... (1/30 | Step: 300 | Eval Loss: 2.3369832038879395 | Eval rouge1: 36.6481 | Eval rouge2: 12.0172 | Eval rougeL: 33.4031 | Eval rougeLsum: 33.4031 | Eval gen_len: 10.6758 |)
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Epoch... (1/30 | Step: 310 | Loss: 2.2441658973693848, Learning Rate: 2.9866057957406156e-05)
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Epoch... (1/30 | Step: 320 | Loss: 2.381657361984253, Learning Rate: 2.986172512464691e-05)
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Epoch... (1/30 | Step: 330 | Loss: 2.39951753616333, Learning Rate: 2.985739047289826e-05)
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Epoch... (1/30 | Step: 340 | Loss: 2.4004015922546387, Learning Rate: 2.985305582114961e-05)
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Epoch... (1/30 | Step: 350 | Loss: 2.3319690227508545, Learning Rate: 2.984872116940096e-05)
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Epoch... (1/30 | Step: 360 | Loss: 2.3237192630767822, Learning Rate: 2.984438651765231e-05)
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Epoch... (1/30 | Step: 370 | Loss: 2.381218671798706, Learning Rate: 2.984005186590366e-05)
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Epoch... (1/30 | Step: 380 | Loss: 2.309722900390625, Learning Rate: 2.9835715395165607e-05)
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Epoch... (1/30 | Step: 390 | Loss: 2.3941807746887207, Learning Rate: 2.9831380743416958e-05)
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Epoch... (1/30 | Step: 400 | Loss: 2.3451006412506104, Learning Rate: 2.9827046091668308e-05)
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Epoch... (1/30 | Step: 410 | Loss: 2.278620719909668, Learning Rate: 2.982271325890906e-05)
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Epoch... (1/30 | Step: 420 | Loss: 2.258894920349121, Learning Rate: 2.9818378607160412e-05)
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Epoch... (1/30 | Step: 430 | Loss: 2.334801197052002, Learning Rate: 2.9814043955411762e-05)
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Epoch... (1/30 | Step: 440 | Loss: 2.358175754547119, Learning Rate: 2.9809709303663112e-05)
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Epoch... (1/30 | Step: 450 | Loss: 2.342679977416992, Learning Rate: 2.9805374651914462e-05)
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Epoch... (1/30 | Step: 460 | Loss: 2.3427581787109375, Learning Rate: 2.9801040000165813e-05)
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Epoch... (1/30 | Step: 470 | Loss: 2.2662670612335205, Learning Rate: 2.9796705348417163e-05)
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Epoch... (1/30 | Step: 480 | Loss: 2.3363449573516846, Learning Rate: 2.979236887767911e-05)
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Epoch... (1/30 | Step: 490 | Loss: 2.3524205684661865, Learning Rate: 2.978803422593046e-05)
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Epoch... (1/30 | Step: 540 | Loss: 2.361353874206543, Learning Rate: 2.9766362786176614e-05)
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Epoch... (1/30 | Step: 550 | Loss: 2.231563091278076, Learning Rate: 2.9762028134427965e-05)
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Epoch... (1/30 | Step: 560 | Loss: 2.23984956741333, Learning Rate: 2.9757693482679315e-05)
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Epoch... (1/30 | Step: 570 | Loss: 2.294980049133301, Learning Rate: 2.9753358830930665e-05)
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Epoch... (1/30 | Step: 580 | Loss: 2.234550952911377, Learning Rate: 2.9749022360192612e-05)
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Epoch... (1/30 | Step: 590 | Loss: 2.2543816566467285, Learning Rate: 2.9744689527433366e-05)
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Epoch... (1/30 | Step: 600 | Loss: 2.249704360961914, Learning Rate: 2.9740354875684716e-05)
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Epoch... (1/30 | Step: 600 | Loss: 2.249704360961914, Learning Rate: 2.9740354875684716e-05)
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Epoch... (1/30 | Step: 600 | Eval Loss: 2.2133584022521973 | Eval rouge1: 38.2794 | Eval rouge2: 13.1501 | Eval rougeL: 34.8961 | Eval rougeLsum: 34.8948 | Eval gen_len: 11.0128 |)
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