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GPT2-705-RUN1

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ninagroot/GPT2-705Mtest

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  1. README.md +43 -26
  2. model.safetensors +1 -1
  3. runs/Apr17_11-29-53_gcn72.local.snellius.surf.nl/events.out.tfevents.1713346201.gcn72.local.snellius.surf.nl.3351341.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.3587
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  ## Model description
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@@ -33,11 +33,11 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.00025
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- - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 50
@@ -48,29 +48,46 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 9.7349 | 0.57 | 1 | 9.7279 |
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- | 7.9926 | 1.71 | 3 | 9.0873 |
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- | 7.841 | 2.86 | 5 | 8.5549 |
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- | 8.2689 | 4.0 | 7 | 8.0536 |
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- | 7.6266 | 4.57 | 8 | 7.6283 |
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- | 7.9761 | 5.71 | 10 | 8.6639 |
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- | 6.9298 | 6.86 | 12 | 7.4626 |
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- | 6.7702 | 8.0 | 14 | 7.1394 |
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- | 6.5432 | 8.57 | 15 | 7.2277 |
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- | 6.6661 | 9.71 | 17 | 6.9744 |
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- | 6.2206 | 10.86 | 19 | 6.8123 |
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- | 5.9537 | 12.0 | 21 | 6.5676 |
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- | 5.8129 | 12.57 | 22 | 6.5414 |
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- | 5.5342 | 13.71 | 24 | 6.2716 |
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- | 5.2846 | 14.86 | 26 | 6.0899 |
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- | 5.0273 | 16.0 | 28 | 6.0949 |
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- | 4.8946 | 16.57 | 29 | 5.8957 |
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- | 4.7286 | 17.71 | 31 | 5.8237 |
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- | 4.6267 | 18.86 | 33 | 5.6508 |
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- | 4.3125 | 20.0 | 35 | 5.5182 |
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- | 4.2257 | 20.57 | 36 | 5.5018 |
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- | 4.1476 | 21.71 | 38 | 5.5468 |
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- | 3.7466 | 22.86 | 40 | 5.3587 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.8497
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.00025
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+ - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 50
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 7.607 | 1.0 | 7 | 7.9535 |
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+ | 6.4914 | 2.0 | 14 | 7.1690 |
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+ | 6.0264 | 3.0 | 21 | 6.4225 |
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+ | 4.9537 | 4.0 | 28 | 6.0582 |
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+ | 4.6624 | 5.0 | 35 | 5.6295 |
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+ | 4.1858 | 6.0 | 42 | 5.4364 |
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+ | 3.4042 | 7.0 | 49 | 5.6539 |
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+ | 3.4375 | 8.0 | 56 | 5.3934 |
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+ | 3.1425 | 9.0 | 63 | 5.3686 |
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+ | 3.0208 | 10.0 | 70 | 5.4510 |
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+ | 2.855 | 11.0 | 77 | 5.6289 |
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+ | 2.5067 | 12.0 | 84 | 5.7600 |
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+ | 2.369 | 13.0 | 91 | 5.8043 |
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+ | 2.2087 | 14.0 | 98 | 5.9449 |
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+ | 1.9651 | 15.0 | 105 | 6.0183 |
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+ | 1.8533 | 16.0 | 112 | 6.1303 |
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+ | 1.5668 | 17.0 | 119 | 6.1822 |
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+ | 1.2826 | 18.0 | 126 | 6.2579 |
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+ | 1.0517 | 19.0 | 133 | 6.3620 |
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+ | 0.8265 | 20.0 | 140 | 6.4218 |
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+ | 0.5489 | 21.0 | 147 | 6.4343 |
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+ | 0.3733 | 22.0 | 154 | 6.4700 |
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+ | 0.2322 | 23.0 | 161 | 6.5601 |
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+ | 0.15 | 24.0 | 168 | 6.5968 |
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+ | 0.1128 | 25.0 | 175 | 6.6768 |
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+ | 0.0703 | 26.0 | 182 | 6.7425 |
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+ | 0.0618 | 27.0 | 189 | 6.7583 |
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+ | 0.0403 | 28.0 | 196 | 6.7516 |
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+ | 0.0273 | 29.0 | 203 | 6.8169 |
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+ | 0.0227 | 30.0 | 210 | 6.8227 |
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+ | 0.0178 | 31.0 | 217 | 6.8049 |
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+ | 0.0131 | 32.0 | 224 | 6.8238 |
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+ | 0.0113 | 33.0 | 231 | 6.8419 |
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+ | 0.0126 | 34.0 | 238 | 6.8478 |
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+ | 0.0121 | 35.0 | 245 | 6.8468 |
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+ | 0.0103 | 36.0 | 252 | 6.8474 |
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+ | 0.0105 | 37.0 | 259 | 6.8487 |
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+ | 0.008 | 38.0 | 266 | 6.8494 |
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+ | 0.0118 | 39.0 | 273 | 6.8498 |
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+ | 0.0079 | 40.0 | 280 | 6.8497 |
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  ### Framework versions
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