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my_rugpt3medium_finetune

Text Generation
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gpt2
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End of training

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Files changed (6) hide show
  1. README.md +12 -6
  2. model.safetensors +1 -1
  3. runs/Dec27_19-27-56_501707aa838d/events.out.tfevents.1703705281.501707aa838d.221.2 +3 -0
  4. runs/Dec27_19-33-20_501707aa838d/events.out.tfevents.1703705604.501707aa838d.221.3 +3 -0
  5. tokenizer.json +11 -2
  6. 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 [ai-forever/rugpt3medium_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3medium_based_on_gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 7.2471
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  ## Model description
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@@ -33,10 +33,12 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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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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  - 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: 500
@@ -47,10 +49,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 9.9269 | 0.61 | 100 | 9.4224 |
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- | 9.1428 | 1.23 | 200 | 8.6591 |
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- | 8.3563 | 1.84 | 300 | 7.8627 |
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- | 7.665 | 2.45 | 400 | 7.2471 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ai-forever/rugpt3medium_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3medium_based_on_gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 9.1801
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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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: 3
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+ - total_train_batch_size: 24
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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: 500
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 10.9006 | 0.37 | 20 | 10.5654 |
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+ | 10.3052 | 0.74 | 40 | 9.9389 |
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+ | 9.8311 | 1.1 | 60 | 9.6573 |
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+ | 9.6329 | 1.47 | 80 | 9.5473 |
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+ | 9.5378 | 1.84 | 100 | 9.4772 |
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+ | 9.466 | 2.21 | 120 | 9.3990 |
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+ | 9.3906 | 2.58 | 140 | 9.3004 |
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+ | 9.2874 | 2.94 | 160 | 9.1801 |
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  ### Framework versions
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