Saving weights and logs of epoch 1 - step 1500
Browse files- ckpt_epoch_1_step_1500/config.json +174 -0
- ckpt_epoch_1_step_1500/eval_generation.json +0 -0
- ckpt_epoch_1_step_1500/eval_results.json +8 -0
- ckpt_epoch_1_step_1500/flax_model.msgpack +3 -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.1640096976.t1v-n-ca5bb87c-w-0.29764.0.v2 +2 -2
- log +51 -0
ckpt_epoch_1_step_1500/config.json
ADDED
@@ -0,0 +1,174 @@
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{
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"architectures": [
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ckpt_epoch_1_step_1500/eval_generation.json
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ckpt_epoch_1_step_1500/eval_results.json
ADDED
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{
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"eval_gen_len": 12.283868,
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"eval_loss": 2.034754,
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"eval_rouge1": 39.720462,
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"eval_rouge2": 14.404286,
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"eval_rougeL": 35.987809,
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"eval_rougeLsum": 35.987896
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}
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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 sha256:7b119f09f52328f2822d2f115e9de4c1c1229c91e025e98dd7218097f871935e
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size 956799284
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ckpt_epoch_1_step_1500/merges.txt
ADDED
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ckpt_epoch_1_step_1500/special_tokens_map.json
ADDED
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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
ADDED
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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.1640096976.t1v-n-ca5bb87c-w-0.29764.0.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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version https://git-lfs.github.com/spec/v1
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oid sha256:219fa39bf6ea9cbc1e845c3ad236a19bf3911b73fadb8ed0a061a20408c66266
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size 16622782
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log
CHANGED
@@ -100,3 +100,54 @@ Epoch... (1/1 | Step: 980 | Loss: 2.1486573219299316 | Learning Rate: 1.72691798
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Epoch... (1/1 | Step: 990 | Loss: 2.1983158588409424 | Learning Rate: 1.7139142073574476e-05 | Time per step: 0.19692125440847993)
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Epoch... (1/1 | Step: 1000 | Loss: 2.1434619426727295 | Learning Rate: 1.7009102521114983e-05 | Time per step: 0.195358873128891)
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Epoch... (1/1 | Step: 1000 | Eval Loss: 2.071117639541626 | Eval rouge1: 39.652538 | Eval rouge2: 14.177532 | Eval rougeL: 35.850527 | Eval rougeLsum: 35.848975 | Eval gen_len: 12.273961 |)
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100 |
Epoch... (1/1 | Step: 990 | Loss: 2.1983158588409424 | Learning Rate: 1.7139142073574476e-05 | Time per step: 0.19692125440847993)
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Epoch... (1/1 | Step: 1000 | Loss: 2.1434619426727295 | Learning Rate: 1.7009102521114983e-05 | Time per step: 0.195358873128891)
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Epoch... (1/1 | Step: 1000 | Eval Loss: 2.071117639541626 | Eval rouge1: 39.652538 | Eval rouge2: 14.177532 | Eval rougeL: 35.850527 | Eval rougeLsum: 35.848975 | Eval gen_len: 12.273961 |)
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+
Epoch... (1/1 | Step: 1010 | Loss: 2.1113176345825195 | Learning Rate: 1.687906296865549e-05 | Time per step: 0.19387355157644443)
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Epoch... (1/1 | Step: 1020 | Loss: 2.125403881072998 | Learning Rate: 1.67490252351854e-05 | Time per step: 0.19240601436764587)
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Epoch... (1/1 | Step: 1030 | Loss: 2.109292984008789 | Learning Rate: 1.6618983863736503e-05 | Time per step: 0.1909887906417106)
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Epoch... (1/1 | Step: 1040 | Loss: 2.0393459796905518 | Learning Rate: 1.6488947949255817e-05 | Time per step: 0.18951574976627644)
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Epoch... (1/1 | Step: 1050 | Loss: 2.0851333141326904 | Learning Rate: 1.635890657780692e-05 | Time per step: 0.18808958825610933)
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Epoch... (1/1 | Step: 1060 | Loss: 2.032742738723755 | Learning Rate: 1.622886884433683e-05 | Time per step: 0.1866728407032085)
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Epoch... (1/1 | Step: 1070 | Loss: 2.090559959411621 | Learning Rate: 1.6098829291877337e-05 | Time per step: 0.185282122754605)
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Epoch... (1/1 | Step: 1080 | Loss: 2.0871057510375977 | Learning Rate: 1.5968789739417844e-05 | Time per step: 0.18392574345624005)
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Epoch... (1/1 | Step: 1090 | Loss: 2.0560994148254395 | Learning Rate: 1.5838752005947754e-05 | Time per step: 0.18262962201319705)
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Epoch... (1/1 | Step: 1100 | Loss: 2.1433119773864746 | Learning Rate: 1.570871245348826e-05 | Time per step: 0.18134411139921708)
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Epoch... (1/1 | Step: 1110 | Loss: 2.1094539165496826 | Learning Rate: 1.5578672901028767e-05 | Time per step: 0.18005623065673554)
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Epoch... (1/1 | Step: 1120 | Loss: 2.0397915840148926 | Learning Rate: 1.5448633348569274e-05 | Time per step: 0.17881171469177518)
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Epoch... (1/1 | Step: 1130 | Loss: 2.0928614139556885 | Learning Rate: 1.5318595615099184e-05 | Time per step: 0.1775794653765923)
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Epoch... (1/1 | Step: 1140 | Loss: 2.071333408355713 | Learning Rate: 1.518855515314499e-05 | Time per step: 0.17638430909106606)
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Epoch... (1/1 | Step: 1150 | Loss: 2.141636371612549 | Learning Rate: 1.5058518329169601e-05 | Time per step: 0.17520383834838868)
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Epoch... (1/1 | Step: 1160 | Loss: 1.9951622486114502 | Learning Rate: 1.4928477867215406e-05 | Time per step: 0.17405129814970083)
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Epoch... (1/1 | Step: 1170 | Loss: 2.0520851612091064 | Learning Rate: 1.4798439224250615e-05 | Time per step: 0.17289256825406327)
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Epoch... (1/1 | Step: 1180 | Loss: 2.053399085998535 | Learning Rate: 1.4668399671791121e-05 | Time per step: 0.17176148750014225)
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Epoch... (1/1 | Step: 1190 | Loss: 2.0979127883911133 | Learning Rate: 1.453836102882633e-05 | Time per step: 0.17067777028604716)
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Epoch... (1/1 | Step: 1200 | Loss: 2.037087917327881 | Learning Rate: 1.4408322385861538e-05 | Time per step: 0.1697588900725047)
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Epoch... (1/1 | Step: 1210 | Loss: 2.225379467010498 | Learning Rate: 1.4278283742896747e-05 | Time per step: 0.16866758992849304)
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124 |
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Epoch... (1/1 | Step: 1220 | Loss: 2.072798728942871 | Learning Rate: 1.4148244190437254e-05 | Time per step: 0.16764525331434657)
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125 |
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Epoch... (1/1 | Step: 1230 | Loss: 2.0676560401916504 | Learning Rate: 1.4018205547472462e-05 | Time per step: 0.1666269135668995)
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126 |
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Epoch... (1/1 | Step: 1240 | Loss: 2.0550100803375244 | Learning Rate: 1.388816690450767e-05 | Time per step: 0.16559767165491657)
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127 |
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Epoch... (1/1 | Step: 1250 | Loss: 2.090104579925537 | Learning Rate: 1.3758128261542879e-05 | Time per step: 0.16458576316833495)
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128 |
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Epoch... (1/1 | Step: 1260 | Loss: 2.037855863571167 | Learning Rate: 1.3628086890093982e-05 | Time per step: 0.16380649502315217)
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Epoch... (1/1 | Step: 1270 | Loss: 2.069274663925171 | Learning Rate: 1.349804824712919e-05 | Time per step: 0.16282440039116566)
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Epoch... (1/1 | Step: 1280 | Loss: 2.139634370803833 | Learning Rate: 1.33680096041644e-05 | Time per step: 0.16187303308397533)
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Epoch... (1/1 | Step: 1290 | Loss: 2.0635054111480713 | Learning Rate: 1.3237970961199608e-05 | Time per step: 0.16094879715941673)
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Epoch... (1/1 | Step: 1300 | Loss: 2.115933418273926 | Learning Rate: 1.3107932318234816e-05 | Time per step: 0.16003306462214542)
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Epoch... (1/1 | Step: 1310 | Loss: 2.1170766353607178 | Learning Rate: 1.2977892765775323e-05 | Time per step: 0.15911450968443894)
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Epoch... (1/1 | Step: 1320 | Loss: 2.124302864074707 | Learning Rate: 1.2847854122810531e-05 | Time per step: 0.15840172821825202)
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Epoch... (1/1 | Step: 1330 | Loss: 2.0505247116088867 | Learning Rate: 1.271781547984574e-05 | Time per step: 0.15752380396190444)
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Epoch... (1/1 | Step: 1340 | Loss: 2.0901174545288086 | Learning Rate: 1.2587776836880948e-05 | Time per step: 0.15665231978715355)
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Epoch... (1/1 | Step: 1350 | Loss: 2.0725221633911133 | Learning Rate: 1.2457737284421455e-05 | Time per step: 0.15581043596620914)
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Epoch... (1/1 | Step: 1360 | Loss: 2.173769950866699 | Learning Rate: 1.2327698641456664e-05 | Time per step: 0.15497289966134464)
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Epoch... (1/1 | Step: 1370 | Loss: 1.9631630182266235 | Learning Rate: 1.2197659998491872e-05 | Time per step: 0.15411251478821691)
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Epoch... (1/1 | Step: 1380 | Loss: 2.0254154205322266 | Learning Rate: 1.2067619536537677e-05 | Time per step: 0.15345382293065388)
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141 |
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Epoch... (1/1 | Step: 1390 | Loss: 2.0926127433776855 | Learning Rate: 1.1937579984078184e-05 | Time per step: 0.15263587742400683)
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Epoch... (1/1 | Step: 1400 | Loss: 2.1013355255126953 | Learning Rate: 1.1807541341113392e-05 | Time per step: 0.15183171289307731)
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143 |
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Epoch... (1/1 | Step: 1410 | Loss: 2.127017021179199 | Learning Rate: 1.16775026981486e-05 | Time per step: 0.15108886035621588)
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144 |
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Epoch... (1/1 | Step: 1420 | Loss: 2.107186794281006 | Learning Rate: 1.154746405518381e-05 | Time per step: 0.1503054445898029)
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145 |
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Epoch... (1/1 | Step: 1430 | Loss: 2.0433754920959473 | Learning Rate: 1.1417425412219018e-05 | Time per step: 0.14954344509364842)
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Epoch... (1/1 | Step: 1440 | Loss: 2.196624279022217 | Learning Rate: 1.1287385859759524e-05 | Time per step: 0.1489259401957194)
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147 |
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Epoch... (1/1 | Step: 1450 | Loss: 1.997576117515564 | Learning Rate: 1.1157347216794733e-05 | Time per step: 0.14815782185258536)
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Epoch... (1/1 | Step: 1460 | Loss: 2.0687851905822754 | Learning Rate: 1.1027308573829941e-05 | Time per step: 0.14740191845044698)
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Epoch... (1/1 | Step: 1470 | Loss: 2.0500588417053223 | Learning Rate: 1.089726993086515e-05 | Time per step: 0.14666985038186417)
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Epoch... (1/1 | Step: 1480 | Loss: 2.0253396034240723 | Learning Rate: 1.0767230378405657e-05 | Time per step: 0.14596247012550767)
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Epoch... (1/1 | Step: 1490 | Loss: 2.109578847885132 | Learning Rate: 1.0637191735440865e-05 | Time per step: 0.14524603322048316)
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152 |
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Epoch... (1/1 | Step: 1500 | Loss: 1.9973983764648438 | Learning Rate: 1.050715127348667e-05 | Time per step: 0.14455435609817505)
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Epoch... (1/1 | Step: 1500 | Eval Loss: 2.0347542762756348 | Eval rouge1: 39.720462 | Eval rouge2: 14.404286 | Eval rougeL: 35.987809 | Eval rougeLsum: 35.987896 | Eval gen_len: 12.283868 |)
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