Saving weights and logs of epoch 2 - step 2700
Browse files- ckpt_epoch_2_step_2700/config.json +169 -0
- ckpt_epoch_2_step_2700/flax_model.msgpack +3 -0
- ckpt_epoch_2_step_2700/generation_eval.json +0 -0
- ckpt_epoch_2_step_2700/merges.txt +0 -0
- ckpt_epoch_2_step_2700/special_tokens_map.json +1 -0
- ckpt_epoch_2_step_2700/tokenizer.json +0 -0
- ckpt_epoch_2_step_2700/tokenizer_config.json +1 -0
- ckpt_epoch_2_step_2700/vocab.json +0 -0
- events.out.tfevents.1633443513.t1v-n-bb5dfd23-w-0.8655.0.v2 +2 -2
- report.txt +32 -0
ckpt_epoch_2_step_2700/config.json
ADDED
@@ -0,0 +1,169 @@
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{
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ckpt_epoch_2_step_2700/flax_model.msgpack
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:5dedc5d4987607859fed8b4ce45f5574cf92ecf046d2263b55fcfc12e6bda68d
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size 956799284
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ckpt_epoch_2_step_2700/generation_eval.json
ADDED
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ckpt_epoch_2_step_2700/merges.txt
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ckpt_epoch_2_step_2700/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_2_step_2700/tokenizer.json
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ckpt_epoch_2_step_2700/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_2_step_2700/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 1648289
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report.txt
CHANGED
@@ -256,3 +256,35 @@ Epoch... (2/30 | Step: 2390 | Loss: 2.0162031650543213, Learning Rate: 2.8964455
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Epoch... (2/30 | Step: 2400 | Loss: 1.9704089164733887, Learning Rate: 2.8960121198906563e-05)
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Epoch... (2/30 | Step: 2400 | Loss: 1.9704089164733887, Learning Rate: 2.8960121198906563e-05)
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Epoch... (2/30 | Step: 2400 | Eval Loss: 2.024594306945801 | Eval rouge1: 40.4764 | Eval rouge2: 14.9051 | Eval rougeL: 36.8785 | Eval rougeLsum: 36.8769 | Eval gen_len: 10.8998 |)
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Epoch... (2/30 | Step: 2400 | Loss: 1.9704089164733887, Learning Rate: 2.8960121198906563e-05)
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Epoch... (2/30 | Step: 2400 | Loss: 1.9704089164733887, Learning Rate: 2.8960121198906563e-05)
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Epoch... (2/30 | Step: 2400 | Eval Loss: 2.024594306945801 | Eval rouge1: 40.4764 | Eval rouge2: 14.9051 | Eval rougeL: 36.8785 | Eval rougeLsum: 36.8769 | Eval gen_len: 10.8998 |)
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Epoch... (2/30 | Step: 2410 | Loss: 1.992959976196289, Learning Rate: 2.8955786547157913e-05)
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Epoch... (2/30 | Step: 2420 | Loss: 1.9835933446884155, Learning Rate: 2.8951451895409264e-05)
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Epoch... (2/30 | Step: 2430 | Loss: 2.101801872253418, Learning Rate: 2.894711542467121e-05)
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Epoch... (2/30 | Step: 2440 | Loss: 2.038966178894043, Learning Rate: 2.894278077292256e-05)
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Epoch... (2/30 | Step: 2450 | Loss: 1.9256877899169922, Learning Rate: 2.8938447940163314e-05)
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Epoch... (2/30 | Step: 2460 | Loss: 1.9768502712249756, Learning Rate: 2.8934113288414665e-05)
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Epoch... (2/30 | Step: 2470 | Loss: 1.9429033994674683, Learning Rate: 2.8929778636666015e-05)
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Epoch... (2/30 | Step: 2480 | Loss: 2.0289816856384277, Learning Rate: 2.8925443984917365e-05)
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Epoch... (2/30 | Step: 2490 | Loss: 1.983972191810608, Learning Rate: 2.8921109333168715e-05)
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Epoch... (2/30 | Step: 2500 | Loss: 2.0486741065979004, Learning Rate: 2.8916774681420065e-05)
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Epoch... (2/30 | Step: 2510 | Loss: 1.9563899040222168, Learning Rate: 2.8912440029671416e-05)
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Epoch... (2/30 | Step: 2520 | Loss: 2.0897140502929688, Learning Rate: 2.8908103558933362e-05)
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Epoch... (2/30 | Step: 2530 | Loss: 2.080152988433838, Learning Rate: 2.8903768907184713e-05)
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Epoch... (2/30 | Step: 2540 | Loss: 1.9517621994018555, Learning Rate: 2.8899436074425466e-05)
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Epoch... (2/30 | Step: 2550 | Loss: 2.0202088356018066, Learning Rate: 2.8895101422676817e-05)
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Epoch... (2/30 | Step: 2560 | Loss: 1.9686460494995117, Learning Rate: 2.8890766770928167e-05)
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Epoch... (2/30 | Step: 2570 | Loss: 1.897174596786499, Learning Rate: 2.8886432119179517e-05)
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Epoch... (2/30 | Step: 2580 | Loss: 1.9737465381622314, Learning Rate: 2.8882097467430867e-05)
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Epoch... (2/30 | Step: 2590 | Loss: 2.0247108936309814, Learning Rate: 2.8877762815682217e-05)
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Epoch... (2/30 | Step: 2600 | Loss: 2.019479990005493, Learning Rate: 2.8873428163933568e-05)
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Epoch... (2/30 | Step: 2610 | Loss: 1.921512246131897, Learning Rate: 2.8869093512184918e-05)
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Epoch... (2/30 | Step: 2620 | Loss: 2.002574920654297, Learning Rate: 2.8864757041446865e-05)
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Epoch... (2/30 | Step: 2630 | Loss: 1.9710190296173096, Learning Rate: 2.886042420868762e-05)
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Epoch... (2/30 | Step: 2640 | Loss: 2.0847268104553223, Learning Rate: 2.885608955693897e-05)
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Epoch... (2/30 | Step: 2650 | Loss: 1.9489305019378662, Learning Rate: 2.885175490519032e-05)
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Epoch... (2/30 | Step: 2660 | Loss: 1.9855422973632812, Learning Rate: 2.884742025344167e-05)
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Epoch... (2/30 | Step: 2670 | Loss: 2.001290798187256, Learning Rate: 2.884308560169302e-05)
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Epoch... (2/30 | Step: 2680 | Loss: 1.9203612804412842, Learning Rate: 2.883875094994437e-05)
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Epoch... (2/30 | Step: 2690 | Loss: 1.928293228149414, Learning Rate: 2.883441629819572e-05)
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Epoch... (2/30 | Step: 2700 | Loss: 2.0274925231933594, Learning Rate: 2.883008164644707e-05)
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Epoch... (2/30 | Step: 2700 | Loss: 2.0274925231933594, Learning Rate: 2.883008164644707e-05)
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Epoch... (2/30 | Step: 2700 | Eval Loss: 2.009991407394409 | Eval rouge1: 40.5888 | Eval rouge2: 15.0982 | Eval rougeL: 36.9127 | Eval rougeLsum: 36.9165 | Eval gen_len: 10.6976 |)
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