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gpt2-small-german-finetune-oscar-finetuned

Text Generation
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gpt2
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text-generation-inference
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Training completed for 6@lr:0.0005!

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  1. README.md +8 -5
  2. model.safetensors +1 -1
  3. runs/Feb21_21-52-49_7ae86bb689ec/events.out.tfevents.1708552382.7ae86bb689ec.14183.0 +3 -0
  4. runs/Feb21_21-59-25_7ae86bb689ec/events.out.tfevents.1708552781.7ae86bb689ec.16399.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ml6team/gpt2-small-german-finetune-oscar](https://huggingface.co/ml6team/gpt2-small-german-finetune-oscar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.4805
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  ## Model description
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@@ -39,15 +39,18 @@ The following hyperparameters were used during training:
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 4.4964 | 1.0 | 210 | 4.2323 |
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- | 3.4962 | 2.0 | 420 | 4.2861 |
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- | 2.5871 | 3.0 | 630 | 4.4805 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ml6team/gpt2-small-german-finetune-oscar](https://huggingface.co/ml6team/gpt2-small-german-finetune-oscar) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.6147
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  ## Model description
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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: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.1666 | 1.0 | 210 | 4.2622 |
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+ | 3.1732 | 2.0 | 420 | 4.3527 |
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+ | 2.3188 | 3.0 | 630 | 4.6424 |
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+ | 1.7614 | 4.0 | 840 | 5.0776 |
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+ | 1.5433 | 5.0 | 1050 | 5.4150 |
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+ | 1.5366 | 6.0 | 1260 | 5.6147 |
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  ### Framework versions
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