Training in progress, step 10
Browse files- config.json +3 -3
- pytorch_model.bin +2 -2
- runs/May25_18-47-00_nonevblpa4/1685040458.5406668/events.out.tfevents.1685040458.nonevblpa4.66.1 +3 -0
- runs/May25_18-47-00_nonevblpa4/events.out.tfevents.1685040458.nonevblpa4.66.0 +3 -0
- runs/May26_13-51-34_nnhp28fx9o/1685109102.7105682/events.out.tfevents.1685109102.nnhp28fx9o.482.1 +3 -0
- runs/May26_13-51-34_nnhp28fx9o/events.out.tfevents.1685109102.nnhp28fx9o.482.0 +3 -0
- runs/May26_16-31-00_nnhp28fx9o/1685118668.224144/events.out.tfevents.1685118668.nnhp28fx9o.894.1 +3 -0
- runs/May26_16-31-00_nnhp28fx9o/events.out.tfevents.1685118668.nnhp28fx9o.894.0 +3 -0
- runs/May26_18-24-34_nnhp28fx9o/1685125483.201191/events.out.tfevents.1685125483.nnhp28fx9o.1173.1 +3 -0
- runs/May26_18-24-34_nnhp28fx9o/events.out.tfevents.1685125483.nnhp28fx9o.1173.0 +3 -0
- runs/May27_19-49-47_nvjdytqjwu/1685217061.733849/events.out.tfevents.1685217061.nvjdytqjwu.32.1 +3 -0
- runs/May27_19-49-47_nvjdytqjwu/events.out.tfevents.1685217061.nvjdytqjwu.32.0 +3 -0
- runs/May27_19-52-36_nvjdytqjwu/1685217210.761209/events.out.tfevents.1685217210.nvjdytqjwu.687.1 +3 -0
- runs/May27_19-52-36_nvjdytqjwu/events.out.tfevents.1685217210.nvjdytqjwu.687.0 +3 -0
- runs/May27_19-56-06_nvjdytqjwu/1685217375.180956/events.out.tfevents.1685217375.nvjdytqjwu.830.1 +3 -0
- runs/May27_19-56-06_nvjdytqjwu/events.out.tfevents.1685217375.nvjdytqjwu.830.0 +3 -0
- runs/May27_19-57-25_nvjdytqjwu/1685217471.1955128/events.out.tfevents.1685217471.nvjdytqjwu.975.1 +3 -0
- runs/May27_19-57-25_nvjdytqjwu/events.out.tfevents.1685217471.nvjdytqjwu.975.0 +3 -0
- runs/May27_19-59-49_nvjdytqjwu/1685217614.2802324/events.out.tfevents.1685217614.nvjdytqjwu.1113.1 +3 -0
- runs/May27_19-59-49_nvjdytqjwu/events.out.tfevents.1685217614.nvjdytqjwu.1113.0 +3 -0
- tokenizer.json +6 -1
- training_args.bin +1 -1
config.json
CHANGED
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@@ -19,10 +19,10 @@
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"length_penalty": 0
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"local_radius": 127,
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"max_length": 512,
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"min_length":
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"model_type": "longt5",
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"n_positions": 4096,
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"no_repeat_ngram_size": 3,
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"relative_attention_num_buckets": 32,
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"repetition_penalty": 3.5,
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"tie_word_embeddings": false,
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-
"torch_dtype": "
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"transformers_version": "4.28.0",
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"use_cache": true,
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"vocab_size": 32128
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"min_length": 100,
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"model_type": "longt5",
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"n_positions": 4096,
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"no_repeat_ngram_size": 3,
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"torch_dtype": "float32",
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| 40 |
"transformers_version": "4.28.0",
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pytorch_model.bin
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tokenizer.json
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training_args.bin
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