jeremyvictor
commited on
Commit
•
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Parent(s):
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Model save
Browse files- README.md +83 -0
- generation_config.json +6 -0
- logs/events.out.tfevents.1689436666.jeremyvictor-pod.1794599.0 +2 -2
- logs/events.out.tfevents.1689439142.jeremyvictor-pod.1794599.1 +3 -0
- pytorch_model.bin +1 -1
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +112 -0
README.md
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---
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license: apache-2.0
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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-base-gramatika-final-e8-b16
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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-base-gramatika-final-e8-b16
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This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1723
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- Rouge1: 43.8331
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- Rouge2: 34.7609
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- Rougel: 43.5803
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- Rougelsum: 43.5467
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- Gen Len: 18.9287
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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: 0.001
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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: 8
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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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| 2.6434 | 0.37 | 300 | 0.4530 | 38.4418 | 26.1528 | 37.8295 | 37.7894 | 18.9434 |
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| 0.5551 | 0.73 | 600 | 0.3368 | 39.883 | 28.2471 | 39.2883 | 39.2822 | 18.9345 |
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| 0.4523 | 1.1 | 900 | 0.2959 | 40.3084 | 29.2298 | 39.8742 | 39.8747 | 18.9350 |
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| 0.4165 | 1.46 | 1200 | 0.2610 | 41.0422 | 30.4902 | 40.6542 | 40.6354 | 18.9350 |
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| 0.3196 | 1.83 | 1500 | 0.2292 | 41.6111 | 31.1549 | 41.2572 | 41.2477 | 18.9355 |
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| 0.2718 | 2.2 | 1800 | 0.2153 | 41.9295 | 31.6902 | 41.5757 | 41.5624 | 18.9334 |
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| 0.2446 | 2.56 | 2100 | 0.2055 | 42.2918 | 32.4861 | 42.0541 | 42.0135 | 18.9324 |
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| 0.2301 | 2.93 | 2400 | 0.2232 | 42.6172 | 33.0243 | 42.3474 | 42.3224 | 18.9334 |
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| 0.1997 | 3.29 | 2700 | 0.1859 | 42.8442 | 33.4479 | 42.6294 | 42.6121 | 18.9350 |
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| 0.186 | 3.66 | 3000 | 0.1816 | 42.9407 | 33.5872 | 42.7248 | 42.7125 | 18.9277 |
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| 0.1736 | 4.02 | 3300 | 0.1771 | 43.1994 | 34.0513 | 43.0334 | 42.9982 | 18.9308 |
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| 0.1439 | 4.39 | 3600 | 0.1818 | 43.2146 | 33.997 | 43.0221 | 42.9893 | 18.9282 |
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| 0.1429 | 4.76 | 3900 | 0.1732 | 43.4458 | 34.377 | 43.3072 | 43.26 | 18.9277 |
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| 0.132 | 5.12 | 4200 | 0.1795 | 43.7156 | 34.6069 | 43.4982 | 43.481 | 18.9292 |
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| 0.1151 | 5.49 | 4500 | 0.1767 | 43.7618 | 34.7345 | 43.5565 | 43.5181 | 18.9287 |
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| 0.1127 | 5.85 | 4800 | 0.1723 | 43.8331 | 34.7609 | 43.5803 | 43.5467 | 18.9287 |
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| 0.0994 | 6.22 | 5100 | 0.1757 | 43.8866 | 34.9216 | 43.641 | 43.6214 | 18.9287 |
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| 0.0892 | 6.59 | 5400 | 0.1779 | 43.9415 | 34.9905 | 43.7332 | 43.7063 | 18.9292 |
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| 0.0914 | 6.95 | 5700 | 0.1725 | 43.9439 | 35.0456 | 43.7419 | 43.7266 | 18.9298 |
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| 0.0772 | 7.32 | 6000 | 0.1776 | 44.1132 | 35.3173 | 43.9301 | 43.9135 | 18.9287 |
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| 0.0755 | 7.68 | 6300 | 0.1778 | 44.0494 | 35.3179 | 43.8797 | 43.8587 | 18.9282 |
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### Framework versions
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- Transformers 4.30.1
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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": "4.30.1"
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}
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logs/events.out.tfevents.1689436666.jeremyvictor-pod.1794599.0
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logs/events.out.tfevents.1689439142.jeremyvictor-pod.1794599.1
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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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"<extra_id_35>",
|
39 |
+
"<extra_id_36>",
|
40 |
+
"<extra_id_37>",
|
41 |
+
"<extra_id_38>",
|
42 |
+
"<extra_id_39>",
|
43 |
+
"<extra_id_40>",
|
44 |
+
"<extra_id_41>",
|
45 |
+
"<extra_id_42>",
|
46 |
+
"<extra_id_43>",
|
47 |
+
"<extra_id_44>",
|
48 |
+
"<extra_id_45>",
|
49 |
+
"<extra_id_46>",
|
50 |
+
"<extra_id_47>",
|
51 |
+
"<extra_id_48>",
|
52 |
+
"<extra_id_49>",
|
53 |
+
"<extra_id_50>",
|
54 |
+
"<extra_id_51>",
|
55 |
+
"<extra_id_52>",
|
56 |
+
"<extra_id_53>",
|
57 |
+
"<extra_id_54>",
|
58 |
+
"<extra_id_55>",
|
59 |
+
"<extra_id_56>",
|
60 |
+
"<extra_id_57>",
|
61 |
+
"<extra_id_58>",
|
62 |
+
"<extra_id_59>",
|
63 |
+
"<extra_id_60>",
|
64 |
+
"<extra_id_61>",
|
65 |
+
"<extra_id_62>",
|
66 |
+
"<extra_id_63>",
|
67 |
+
"<extra_id_64>",
|
68 |
+
"<extra_id_65>",
|
69 |
+
"<extra_id_66>",
|
70 |
+
"<extra_id_67>",
|
71 |
+
"<extra_id_68>",
|
72 |
+
"<extra_id_69>",
|
73 |
+
"<extra_id_70>",
|
74 |
+
"<extra_id_71>",
|
75 |
+
"<extra_id_72>",
|
76 |
+
"<extra_id_73>",
|
77 |
+
"<extra_id_74>",
|
78 |
+
"<extra_id_75>",
|
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 |
+
"model_max_length": 512,
|
108 |
+
"pad_token": "<pad>",
|
109 |
+
"sp_model_kwargs": {},
|
110 |
+
"tokenizer_class": "T5Tokenizer",
|
111 |
+
"unk_token": "<unk>"
|
112 |
+
}
|