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GPT2-705-RUN1

Text Generation
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text-generation-inference
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ninagroot/GPT2-705Mtest

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  1. README.md +20 -11
  2. model.safetensors +1 -1
  3. runs/Apr16_11-04-43_gcn13.local.snellius.surf.nl/events.out.tfevents.1713258292.gcn13.local.snellius.surf.nl.484961.0 +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: 5.7957
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  ## Model description
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@@ -41,22 +41,31 @@ The following hyperparameters were used during training:
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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 | 9.1712 |
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- | No log | 2.0 | 7 | 8.7604 |
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- | No log | 2.86 | 10 | 7.5925 |
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- | No log | 4.0 | 14 | 7.3624 |
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- | No log | 4.86 | 17 | 6.9348 |
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- | 7.3776 | 6.0 | 21 | 6.4774 |
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- | 7.3776 | 6.86 | 24 | 6.4065 |
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- | 7.3776 | 8.0 | 28 | 5.9677 |
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- | 7.3776 | 8.57 | 30 | 5.7957 |
 
 
 
 
 
 
 
 
 
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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: 5.5515
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  ## Model description
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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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+ | No log | 0.86 | 3 | 8.6420 |
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+ | No log | 2.0 | 7 | 8.3017 |
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+ | No log | 2.86 | 10 | 7.4703 |
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+ | No log | 4.0 | 14 | 7.3033 |
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+ | No log | 4.86 | 17 | 6.6681 |
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+ | 7.0997 | 6.0 | 21 | 6.2953 |
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+ | 7.0997 | 6.86 | 24 | 5.9852 |
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+ | 7.0997 | 8.0 | 28 | 5.7430 |
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+ | 7.0997 | 8.86 | 31 | 5.5474 |
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+ | 7.0997 | 10.0 | 35 | 5.5484 |
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+ | 7.0997 | 10.86 | 38 | 5.4335 |
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+ | 4.4904 | 12.0 | 42 | 5.4799 |
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+ | 4.4904 | 12.86 | 45 | 5.4311 |
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+ | 4.4904 | 14.0 | 49 | 5.7129 |
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+ | 4.4904 | 14.86 | 52 | 5.5459 |
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+ | 4.4904 | 16.0 | 56 | 5.5459 |
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+ | 4.4904 | 16.86 | 59 | 5.5522 |
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+ | 3.0663 | 17.14 | 60 | 5.5515 |
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  ### Framework versions
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