File size: 3,441 Bytes
2496e86 ecdae4d 111877d ecdae4d 111877d f83387e 3314c37 2496e86 33c9eba 2496e86 0085c80 2496e86 33c9eba 2496e86 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 |
---
tags:
- summarization
- summary
- booksum
- long-document
- long-form
license:
- apache-2.0
- bsd-3-clause
datasets:
- kmfoda/booksum
metrics:
- rouge
inference: false
model-index:
- name: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
results:
- task:
type: summarization
name: Summarization
dataset:
name: samsum
type: samsum
config: samsum
split: test
metrics:
- name: ROUGE-1
type: rouge
value: 24.4101
verified: true
- name: ROUGE-2
type: rouge
value: 5.003
verified: true
- name: ROUGE-L
type: rouge
value: 17.2544
verified: true
- name: ROUGE-LSUM
type: rouge
value: 20.9183
verified: true
- name: loss
type: loss
value: 3.194674015045166
verified: true
- name: gen_len
type: gen_len
value: 58.9951
verified: true
- task:
type: summarization
name: Summarization
dataset:
name: billsum
type: billsum
config: default
split: test
metrics:
- name: ROUGE-1
type: rouge
value: 37.3648
verified: true
- name: ROUGE-2
type: rouge
value: 12.3316
verified: true
- name: ROUGE-L
type: rouge
value: 22.075
verified: true
- name: ROUGE-LSUM
type: rouge
value: 31.1679
verified: true
- name: loss
type: loss
value: 2.745267391204834
verified: true
- name: gen_len
type: gen_len
value: 157.3126
verified: true
- task:
type: summarization
name: Summarization
dataset:
name: xsum
type: xsum
config: default
split: test
metrics:
- name: ROUGE-1
type: rouge
value: 18.2975
verified: true
- name: ROUGE-2
type: rouge
value: 2.6806
verified: true
- name: ROUGE-L
type: rouge
value: 11.9453
verified: true
- name: ROUGE-LSUM
type: rouge
value: 14.2121
verified: true
- name: loss
type: loss
value: 4.836681365966797
verified: true
- name: gen_len
type: gen_len
value: 96.2584
verified: true
---
# long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13
> Evaluating some metric results before merging with the "main" wip version
This model is a fine-tuned version of [pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP12](https://huggingface.co/pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP12) on the `kmfoda/booksum`.
The "base" checkpoint that I update when a training session is productive is [here](https://huggingface.co/pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP)
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0006
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1.1
### Framework versions
- Transformers 4.21.2
- Pytorch 1.10.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
|