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GPT2-705-RUN1

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ninagroot/GPT2-705Mtest

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  1. README.md +27 -16
  2. model.safetensors +1 -1
  3. runs/Apr17_11-21-17_gcn40.local.snellius.surf.nl/events.out.tfevents.1713345684.gcn40.local.snellius.surf.nl.3793766.0 +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: 6.4596
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  ## Model description
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@@ -33,33 +33,44 @@ 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: 16
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 8
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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
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- - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 9.6842 | 0.57 | 1 | 9.6923 |
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- | 7.965 | 1.71 | 3 | 8.8509 |
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- | 7.7822 | 2.86 | 5 | 8.3252 |
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- | 7.8086 | 4.0 | 7 | 7.8650 |
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- | 7.3927 | 4.57 | 8 | 7.6373 |
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- | 7.3496 | 5.71 | 10 | 7.5233 |
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- | 6.7868 | 6.86 | 12 | 7.0954 |
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- | 7.3518 | 8.0 | 14 | 7.1324 |
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- | 6.4308 | 8.57 | 15 | 6.8810 |
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- | 6.0271 | 9.71 | 17 | 6.6660 |
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- | 5.7575 | 10.86 | 19 | 6.5046 |
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- | 5.7538 | 11.43 | 20 | 6.4596 |
 
 
 
 
 
 
 
 
 
 
 
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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: 5.3587
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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: 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
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+ - num_epochs: 40
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  - mixed_precision_training: Native AMP
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  ### Training results
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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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