jeremyvictor
commited on
Commit
·
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Parent(s):
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Model save
Browse files- README.md +70 -0
- generation_config.json +6 -0
- logs/events.out.tfevents.1691730785.jeremyvictor-pod.3854319.0 +2 -2
- logs/events.out.tfevents.1692082494.jeremyvictor-pod.3854319.1 +3 -0
- pytorch_model.bin +1 -1
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +113 -0
README.md
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---
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license: apache-2.0
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base_model: google/t5-v1_1-large
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: t5-v1_1-large-gramatika1500k
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# t5-v1_1-large-gramatika1500k
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This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0386
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- Rouge1: 52.2432
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- Rouge2: 46.3929
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- Rougel: 52.1914
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- Rougelsum: 52.1955
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- Gen Len: 18.9096
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adafactor
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 0.1341 | 1.33 | 100000 | 0.0603 | 51.1478 | 44.5632 | 51.0653 | 51.0706 | 18.9107 |
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| 0.0608 | 2.67 | 200000 | 0.0469 | 51.7198 | 45.5159 | 51.6566 | 51.6625 | 18.9102 |
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| 0.0465 | 4.0 | 300000 | 0.0417 | 51.97 | 45.93 | 51.9094 | 51.9137 | 18.9101 |
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| 0.0375 | 5.33 | 400000 | 0.0402 | 52.1056 | 46.1587 | 52.0509 | 52.0577 | 18.9095 |
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| 0.0322 | 6.67 | 500000 | 0.0388 | 52.1861 | 46.2939 | 52.1316 | 52.1371 | 18.9095 |
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| 0.0285 | 8.0 | 600000 | 0.0386 | 52.2432 | 46.3929 | 52.1914 | 52.1955 | 18.9096 |
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| 0.0253 | 9.34 | 700000 | 0.0390 | 52.2683 | 46.4315 | 52.2181 | 52.224 | 18.9094 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 1.11.0a0+b6df043
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.31.0"
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}
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logs/events.out.tfevents.1691730785.jeremyvictor-pod.3854319.0
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logs/events.out.tfevents.1692082494.jeremyvictor-pod.3854319.1
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pytorch_model.bin
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special_tokens_map.json
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spiece.model
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tokenizer.json
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tokenizer_config.json
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79 |
+
"<extra_id_76>",
|
80 |
+
"<extra_id_77>",
|
81 |
+
"<extra_id_78>",
|
82 |
+
"<extra_id_79>",
|
83 |
+
"<extra_id_80>",
|
84 |
+
"<extra_id_81>",
|
85 |
+
"<extra_id_82>",
|
86 |
+
"<extra_id_83>",
|
87 |
+
"<extra_id_84>",
|
88 |
+
"<extra_id_85>",
|
89 |
+
"<extra_id_86>",
|
90 |
+
"<extra_id_87>",
|
91 |
+
"<extra_id_88>",
|
92 |
+
"<extra_id_89>",
|
93 |
+
"<extra_id_90>",
|
94 |
+
"<extra_id_91>",
|
95 |
+
"<extra_id_92>",
|
96 |
+
"<extra_id_93>",
|
97 |
+
"<extra_id_94>",
|
98 |
+
"<extra_id_95>",
|
99 |
+
"<extra_id_96>",
|
100 |
+
"<extra_id_97>",
|
101 |
+
"<extra_id_98>",
|
102 |
+
"<extra_id_99>"
|
103 |
+
],
|
104 |
+
"clean_up_tokenization_spaces": true,
|
105 |
+
"eos_token": "</s>",
|
106 |
+
"extra_ids": 100,
|
107 |
+
"legacy": true,
|
108 |
+
"model_max_length": 512,
|
109 |
+
"pad_token": "<pad>",
|
110 |
+
"sp_model_kwargs": {},
|
111 |
+
"tokenizer_class": "T5Tokenizer",
|
112 |
+
"unk_token": "<unk>"
|
113 |
+
}
|