Saving weights and logs of epoch 3 - step 6000
Browse files- ckpt_epoch_3_step_6000/config.json +169 -0
- ckpt_epoch_3_step_6000/flax_model.msgpack +3 -0
- ckpt_epoch_3_step_6000/generation_eval.json +0 -0
- ckpt_epoch_3_step_6000/merges.txt +0 -0
- ckpt_epoch_3_step_6000/special_tokens_map.json +1 -0
- ckpt_epoch_3_step_6000/tokenizer.json +0 -0
- ckpt_epoch_3_step_6000/tokenizer_config.json +1 -0
- ckpt_epoch_3_step_6000/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_6000/config.json
ADDED
@@ -0,0 +1,169 @@
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ckpt_epoch_3_step_6000/flax_model.msgpack
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:83adda308294700b912ec3146e36039c3091ea529df958cd6d8adca1d2e9b6c5
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size 956799284
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ckpt_epoch_3_step_6000/generation_eval.json
ADDED
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ckpt_epoch_3_step_6000/merges.txt
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ckpt_epoch_3_step_6000/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_6000/tokenizer.json
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ckpt_epoch_3_step_6000/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_6000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
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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 3843746
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report.txt
CHANGED
@@ -610,3 +610,35 @@ Epoch... (3/30 | Step: 5690 | Loss: 1.84775710105896, Learning Rate: 2.753402623
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Epoch... (3/30 | Step: 5700 | Loss: 1.8937106132507324, Learning Rate: 2.7529691578820348e-05)
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Epoch... (3/30 | Step: 5700 | Loss: 1.8937106132507324, Learning Rate: 2.7529691578820348e-05)
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Epoch... (3/30 | Step: 5700 | Eval Loss: 1.9317536354064941 | Eval rouge1: 41.2629 | Eval rouge2: 15.689 | Eval rougeL: 37.4603 | Eval rougeLsum: 37.46 | Eval gen_len: 11.1765 |)
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610 |
Epoch... (3/30 | Step: 5700 | Loss: 1.8937106132507324, Learning Rate: 2.7529691578820348e-05)
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Epoch... (3/30 | Step: 5700 | Loss: 1.8937106132507324, Learning Rate: 2.7529691578820348e-05)
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Epoch... (3/30 | Step: 5700 | Eval Loss: 1.9317536354064941 | Eval rouge1: 41.2629 | Eval rouge2: 15.689 | Eval rougeL: 37.4603 | Eval rougeLsum: 37.46 | Eval gen_len: 11.1765 |)
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Epoch... (3/30 | Step: 5710 | Loss: 1.8048105239868164, Learning Rate: 2.7525356927071698e-05)
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Epoch... (3/30 | Step: 5720 | Loss: 1.8522942066192627, Learning Rate: 2.7521022275323048e-05)
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Epoch... (3/30 | Step: 5730 | Loss: 1.8378591537475586, Learning Rate: 2.75166876235744e-05)
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Epoch... (3/30 | Step: 5740 | Loss: 1.9069128036499023, Learning Rate: 2.751235297182575e-05)
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Epoch... (3/30 | Step: 5750 | Loss: 1.7947864532470703, Learning Rate: 2.75080183200771e-05)
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Epoch... (3/30 | Step: 5760 | Loss: 1.8484649658203125, Learning Rate: 2.750368366832845e-05)
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Epoch... (3/30 | Step: 5770 | Loss: 1.8341162204742432, Learning Rate: 2.74993490165798e-05)
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Epoch... (3/30 | Step: 5780 | Loss: 1.814949631690979, Learning Rate: 2.749501436483115e-05)
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Epoch... (3/30 | Step: 5790 | Loss: 1.869789958000183, Learning Rate: 2.74906797130825e-05)
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Epoch... (3/30 | Step: 5800 | Loss: 1.925891637802124, Learning Rate: 2.748634506133385e-05)
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Epoch... (3/30 | Step: 5810 | Loss: 1.845622181892395, Learning Rate: 2.74820104095852e-05)
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Epoch... (3/30 | Step: 5820 | Loss: 1.9024274349212646, Learning Rate: 2.747767575783655e-05)
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Epoch... (3/30 | Step: 5830 | Loss: 1.734498381614685, Learning Rate: 2.74733411060879e-05)
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Epoch... (3/30 | Step: 5840 | Loss: 1.8688403367996216, Learning Rate: 2.746900645433925e-05)
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Epoch... (3/30 | Step: 5850 | Loss: 1.858962059020996, Learning Rate: 2.74646718025906e-05)
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Epoch... (3/30 | Step: 5860 | Loss: 1.7663443088531494, Learning Rate: 2.746033715084195e-05)
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Epoch... (3/30 | Step: 5870 | Loss: 1.741565465927124, Learning Rate: 2.74560024990933e-05)
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Epoch... (3/30 | Step: 5880 | Loss: 1.8864623308181763, Learning Rate: 2.7451667847344652e-05)
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Epoch... (3/30 | Step: 5890 | Loss: 1.7897045612335205, Learning Rate: 2.7447333195596002e-05)
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Epoch... (3/30 | Step: 5900 | Loss: 1.794191837310791, Learning Rate: 2.7442998543847352e-05)
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Epoch... (3/30 | Step: 5910 | Loss: 1.9371439218521118, Learning Rate: 2.7438665711088106e-05)
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Epoch... (3/30 | Step: 5920 | Loss: 1.8133981227874756, Learning Rate: 2.7434331059339456e-05)
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Epoch... (3/30 | Step: 5930 | Loss: 1.9133797883987427, Learning Rate: 2.7429994588601403e-05)
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Epoch... (3/30 | Step: 5940 | Loss: 1.874544382095337, Learning Rate: 2.7425659936852753e-05)
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Epoch... (3/30 | Step: 5950 | Loss: 1.7396442890167236, Learning Rate: 2.7421325285104103e-05)
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Epoch... (3/30 | Step: 5960 | Loss: 1.8002548217773438, Learning Rate: 2.7416990633355454e-05)
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Epoch... (3/30 | Step: 5970 | Loss: 1.8371654748916626, Learning Rate: 2.7412655981606804e-05)
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Epoch... (3/30 | Step: 5980 | Loss: 1.7982285022735596, Learning Rate: 2.7408321329858154e-05)
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Epoch... (3/30 | Step: 5990 | Loss: 1.862635612487793, Learning Rate: 2.7403986678109504e-05)
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Epoch... (3/30 | Step: 6000 | Loss: 1.9368724822998047, Learning Rate: 2.7399653845350258e-05)
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Epoch... (3/30 | Step: 6000 | Loss: 1.9368724822998047, Learning Rate: 2.7399653845350258e-05)
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Epoch... (3/30 | Step: 6000 | Eval Loss: 1.9258944988250732 | Eval rouge1: 41.086 | Eval rouge2: 15.536 | Eval rougeL: 37.351 | Eval rougeLsum: 37.3528 | Eval gen_len: 11.2105 |)
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