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DigRabbit6666
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protein-gpt2

Text Generation
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Safetensors
gpt2
Generated from Trainer
text-generation-inference
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End of training

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  1. README.md +9 -13
  2. model.safetensors +1 -1
  3. runs/Nov29_15-17-31_ML-PC3/events.out.tfevents.1732861056.ML-PC3.17908.2 +3 -0
  4. runs/Nov29_15-37-03_ML-PC3/events.out.tfevents.1732862227.ML-PC3.13172.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 8.6109
 
 
 
 
 
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  ## Model description
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@@ -41,20 +46,11 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 9.2435 | 1.0 | 709 | 8.7805 |
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- | 8.8087 | 2.0 | 1418 | 8.7002 |
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- | 8.6827 | 3.0 | 2127 | 8.6109 |
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-
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  ### Framework versions
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  - Transformers 4.46.3
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  - Pytorch 2.1.0+cu121
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- - Datasets 3.1.0
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- - Tokenizers 0.20.4
 
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.0295
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+ - eval_runtime: 17.252
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+ - eval_samples_per_second: 328.426
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+ - eval_steps_per_second: 41.097
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+ - epoch: 61.6925
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+ - step: 43740
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 200
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.46.3
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.20.3
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