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GPT2-705-RUN1

Text Generation
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ninagroot/GPT2-705Mtest

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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Apr16_11-25-58_gcn42.local.snellius.surf.nl/events.out.tfevents.1713259568.gcn42.local.snellius.surf.nl.1052157.0 +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: 5.6397
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  ## Model description
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@@ -33,30 +33,30 @@ 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: 8
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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: 64
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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: 10
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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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- | No log | 0.86 | 3 | 9.7177 |
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- | No log | 2.0 | 7 | 7.8263 |
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- | No log | 2.86 | 10 | 7.2736 |
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- | No log | 4.0 | 14 | 6.7730 |
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- | No log | 4.86 | 17 | 6.5121 |
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- | 6.9876 | 6.0 | 21 | 6.4014 |
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- | 6.9876 | 6.86 | 24 | 6.0611 |
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- | 6.9876 | 8.0 | 28 | 5.6288 |
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- | 6.9876 | 8.57 | 30 | 5.6397 |
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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: 6.8761
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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: 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: 15
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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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+ | No log | 0.57 | 1 | 9.7270 |
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+ | No log | 1.71 | 3 | 9.0873 |
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+ | No log | 2.86 | 5 | 8.1474 |
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+ | No log | 4.0 | 7 | 8.1599 |
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+ | No log | 4.57 | 8 | 7.7294 |
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+ | No log | 5.71 | 10 | 7.6325 |
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+ | No log | 6.86 | 12 | 7.3546 |
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+ | No log | 8.0 | 14 | 7.0730 |
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+ | No log | 8.57 | 15 | 6.8761 |
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  ### Framework versions
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