Saving weights and logs of epoch 1 - step 1500
Browse files- ckpt_epoch_1_step_1500/config.json +169 -0
- ckpt_epoch_1_step_1500/flax_model.msgpack +3 -0
- ckpt_epoch_1_step_1500/generation_eval.json +0 -0
- ckpt_epoch_1_step_1500/merges.txt +0 -0
- ckpt_epoch_1_step_1500/special_tokens_map.json +1 -0
- ckpt_epoch_1_step_1500/tokenizer.json +0 -0
- ckpt_epoch_1_step_1500/tokenizer_config.json +1 -0
- ckpt_epoch_1_step_1500/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_1500/config.json
ADDED
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ckpt_epoch_1_step_1500/flax_model.msgpack
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6205f82b78ca8b64ccdbeee07d61c460150faa8facd4bebaba1397a13f2fec4
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size 956799284
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ckpt_epoch_1_step_1500/generation_eval.json
ADDED
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ckpt_epoch_1_step_1500/merges.txt
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ckpt_epoch_1_step_1500/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_1500/tokenizer.json
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ckpt_epoch_1_step_1500/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_1500/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 662725
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report.txt
CHANGED
@@ -126,3 +126,35 @@ Epoch... (1/30 | Step: 1190 | Loss: 2.19675350189209, Learning Rate: 2.948461042
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Epoch... (1/30 | Step: 1200 | Loss: 2.069185972213745, Learning Rate: 2.948027577076573e-05)
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Epoch... (1/30 | Step: 1200 | Loss: 2.069185972213745, Learning Rate: 2.948027577076573e-05)
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Epoch... (1/30 | Step: 1200 | Eval Loss: 2.118244171142578 | Eval rouge1: 39.626 | Eval rouge2: 14.2226 | Eval rougeL: 36.0901 | Eval rougeLsum: 36.0902 | Eval gen_len: 10.9209 |)
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Epoch... (1/30 | Step: 1200 | Loss: 2.069185972213745, Learning Rate: 2.948027577076573e-05)
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Epoch... (1/30 | Step: 1200 | Loss: 2.069185972213745, Learning Rate: 2.948027577076573e-05)
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Epoch... (1/30 | Step: 1200 | Eval Loss: 2.118244171142578 | Eval rouge1: 39.626 | Eval rouge2: 14.2226 | Eval rougeL: 36.0901 | Eval rougeLsum: 36.0902 | Eval gen_len: 10.9209 |)
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Epoch... (1/30 | Step: 1210 | Loss: 2.143256664276123, Learning Rate: 2.9475942938006483e-05)
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Epoch... (1/30 | Step: 1220 | Loss: 2.1436400413513184, Learning Rate: 2.9471608286257833e-05)
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Epoch... (1/30 | Step: 1230 | Loss: 2.2154154777526855, Learning Rate: 2.9467273634509183e-05)
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Epoch... (1/30 | Step: 1240 | Loss: 2.1441659927368164, Learning Rate: 2.9462938982760534e-05)
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Epoch... (1/30 | Step: 1250 | Loss: 2.174199104309082, Learning Rate: 2.9458604331011884e-05)
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Epoch... (1/30 | Step: 1260 | Loss: 2.1268279552459717, Learning Rate: 2.945426786027383e-05)
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Epoch... (1/30 | Step: 1270 | Loss: 2.126941204071045, Learning Rate: 2.944993320852518e-05)
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Epoch... (1/30 | Step: 1280 | Loss: 2.119166612625122, Learning Rate: 2.944559855677653e-05)
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Epoch... (1/30 | Step: 1290 | Loss: 2.2846920490264893, Learning Rate: 2.944126390502788e-05)
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Epoch... (1/30 | Step: 1300 | Loss: 2.1685166358947754, Learning Rate: 2.9436931072268635e-05)
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Epoch... (1/30 | Step: 1310 | Loss: 2.151987314224243, Learning Rate: 2.9432596420519985e-05)
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Epoch... (1/30 | Step: 1320 | Loss: 2.103717565536499, Learning Rate: 2.9428261768771335e-05)
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Epoch... (1/30 | Step: 1330 | Loss: 2.155966281890869, Learning Rate: 2.9423927117022686e-05)
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Epoch... (1/30 | Step: 1340 | Loss: 2.1677801609039307, Learning Rate: 2.9419592465274036e-05)
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Epoch... (1/30 | Step: 1350 | Loss: 2.143979549407959, Learning Rate: 2.9415255994535983e-05)
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Epoch... (1/30 | Step: 1360 | Loss: 2.229569911956787, Learning Rate: 2.9410921342787333e-05)
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Epoch... (1/30 | Step: 1370 | Loss: 2.0859322547912598, Learning Rate: 2.9406586691038683e-05)
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Epoch... (1/30 | Step: 1380 | Loss: 2.2380738258361816, Learning Rate: 2.9402252039290033e-05)
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Epoch... (1/30 | Step: 1390 | Loss: 2.10669207572937, Learning Rate: 2.9397919206530787e-05)
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Epoch... (1/30 | Step: 1400 | Loss: 2.1286675930023193, Learning Rate: 2.9393584554782137e-05)
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Epoch... (1/30 | Step: 1410 | Loss: 2.140237331390381, Learning Rate: 2.9389249903033487e-05)
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Epoch... (1/30 | Step: 1420 | Loss: 2.081178665161133, Learning Rate: 2.9384915251284838e-05)
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Epoch... (1/30 | Step: 1430 | Loss: 2.0578155517578125, Learning Rate: 2.9380580599536188e-05)
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Epoch... (1/30 | Step: 1440 | Loss: 2.082831859588623, Learning Rate: 2.9376245947787538e-05)
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Epoch... (1/30 | Step: 1450 | Loss: 2.1357812881469727, Learning Rate: 2.937191129603889e-05)
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Epoch... (1/30 | Step: 1460 | Loss: 2.164750576019287, Learning Rate: 2.9367574825300835e-05)
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Epoch... (1/30 | Step: 1470 | Loss: 2.0534393787384033, Learning Rate: 2.9363240173552185e-05)
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Epoch... (1/30 | Step: 1480 | Loss: 2.1811447143554688, Learning Rate: 2.935890734079294e-05)
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Epoch... (1/30 | Step: 1490 | Loss: 2.1194841861724854, Learning Rate: 2.935457268904429e-05)
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Epoch... (1/30 | Step: 1500 | Loss: 2.0982208251953125, Learning Rate: 2.935023803729564e-05)
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Epoch... (1/30 | Step: 1500 | Loss: 2.0982208251953125, Learning Rate: 2.935023803729564e-05)
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Epoch... (1/30 | Step: 1500 | Eval Loss: 2.087283134460449 | Eval rouge1: 39.7247 | Eval rouge2: 14.3773 | Eval rougeL: 36.2126 | Eval rougeLsum: 36.2124 | Eval gen_len: 10.922 |)
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