Hugging Face's logo

nferruz
/
1.24.3.1

Text Generation
Transformers
PyTorch
gpt2
Generated from Trainer
Inference Endpoints
text-generation-inference
Model card Files Community
1
nferruz commited on
Commit
b39a264
•
1 Parent(s): b30a604

Upload 13 files

Browse files
Files changed (13) hide show
  1. README.md +110 -0
  2. all_results.json +14 -0
  3. config.json +39 -0
  4. eval_results.json +9 -0
  5. generation_config.json +6 -0
  6. pytorch_model.bin +3 -0
  7. special_tokens_map.json +5 -0
  8. tokenizer.json +4352 -0
  9. tokenizer_config.json +10 -0
  10. train_results.json +8 -0
  11. trainer_state.json +1151 -0
  12. training_args.bin +3 -0
  13. vocab.json +1 -0
README.md ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
3
+ - generated_from_trainer
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+ model-index:
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+ - name: output
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+ results: []
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+ ---
8
+
9
+ <!-- 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. -->
11
+
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+ # output
13
+
14
+ This model is a fine-tuned version of [/home/woody/b114cb/b114cb10/zymCTRL/train/output/](https://huggingface.co//home/woody/b114cb/b114cb10/zymCTRL/train/output/) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1872
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+
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+ ## Model description
19
+
20
+ More information needed
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+
22
+ ## Intended uses & limitations
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+
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+ More information needed
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+
26
+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 8e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.9089 | 0.09 | 10 | 0.9186 |
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+ | 0.6625 | 0.18 | 20 | 0.5026 |
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+ | 0.6228 | 0.27 | 30 | 0.4214 |
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+ | 0.6733 | 0.35 | 40 | 0.3994 |
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+ | 0.5581 | 0.44 | 50 | 0.3381 |
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+ | 0.3853 | 0.53 | 60 | 0.3290 |
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+ | 0.4146 | 0.62 | 70 | 0.2982 |
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+ | 0.4702 | 0.71 | 80 | 0.2852 |
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+ | 0.2309 | 0.8 | 90 | 0.3018 |
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+ | 0.4707 | 0.88 | 100 | 0.2675 |
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+ | 0.3001 | 0.97 | 110 | 0.2527 |
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+ | 0.4044 | 1.06 | 120 | 0.2536 |
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+ | 0.3605 | 1.15 | 130 | 0.2479 |
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+ | 0.2309 | 1.24 | 140 | 0.2304 |
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+ | 0.2481 | 1.33 | 150 | 0.2185 |
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+ | 0.3251 | 1.42 | 160 | 0.2110 |
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+ | 0.227 | 1.5 | 170 | 0.2128 |
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+ | 0.238 | 1.59 | 180 | 0.2065 |
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+ | 0.2171 | 1.68 | 190 | 0.2167 |
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+ | 0.2844 | 1.77 | 200 | 0.2067 |
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+ | 0.2822 | 1.86 | 210 | 0.2065 |
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+ | 0.2111 | 1.95 | 220 | 0.2021 |
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+ | 0.1915 | 2.04 | 230 | 0.2136 |
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+ | 0.122 | 2.12 | 240 | 0.2245 |
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+ | 0.1845 | 2.21 | 250 | 0.2035 |
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+ | 0.1597 | 2.3 | 260 | 0.1980 |
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+ | 0.1037 | 2.39 | 270 | 0.1939 |
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+ | 0.109 | 2.48 | 280 | 0.1946 |
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+ | 0.1312 | 2.57 | 290 | 0.1936 |
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+ | 0.2261 | 2.65 | 300 | 0.1918 |
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+ | 0.113 | 2.74 | 310 | 0.1863 |
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+ | 0.1762 | 2.83 | 320 | 0.1790 |
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+ | 0.1431 | 2.92 | 330 | 0.1783 |
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+ | 0.2109 | 3.01 | 340 | 0.1761 |
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+ | 0.0885 | 3.1 | 350 | 0.1844 |
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+ | 0.0647 | 3.19 | 360 | 0.1922 |
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+ | 0.126 | 3.27 | 370 | 0.1909 |
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+ | 0.0965 | 3.36 | 380 | 0.1878 |
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+ | 0.1068 | 3.45 | 390 | 0.1915 |
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+ | 0.0973 | 3.54 | 400 | 0.1814 |
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+ | 0.074 | 3.63 | 410 | 0.1835 |
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+ | 0.0899 | 3.72 | 420 | 0.1821 |
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+ | 0.1126 | 3.81 | 430 | 0.1807 |
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+ | 0.0969 | 3.89 | 440 | 0.1776 |
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+ | 0.0644 | 3.98 | 450 | 0.1764 |
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+ | 0.049 | 4.07 | 460 | 0.1785 |
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+ | 0.0466 | 4.16 | 470 | 0.1822 |
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+ | 0.0545 | 4.25 | 480 | 0.1870 |
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+ | 0.0391 | 4.34 | 490 | 0.1908 |
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+ | 0.0614 | 4.42 | 500 | 0.1918 |
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+ | 0.0597 | 4.51 | 510 | 0.1895 |
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+ | 0.0461 | 4.6 | 520 | 0.1863 |
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+ | 0.0456 | 4.69 | 530 | 0.1867 |
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+ | 0.0438 | 4.78 | 540 | 0.1867 |
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+ | 0.0394 | 4.87 | 550 | 0.1871 |
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+ | 0.0454 | 4.96 | 560 | 0.1872 |
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+
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+
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+ ### Framework versions
106
+
107
+ - Transformers 4.26.1
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+ - Pytorch 1.12.1+cu116
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+ - Datasets 2.10.0
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+ - Tokenizers 0.12.1
all_results.json ADDED
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+ "train_loss": 0.24255070493812056,
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+ }
config.json ADDED
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+ {
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+ }
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@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
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+ {
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+ }
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