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jackoyoungblood
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TinyStoriesProject

Text Generation
Transformers
PyTorch
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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End of training

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Files changed (3) hide show
  1. README.md +24 -8
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
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  ---
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  license: mit
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -12,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # TinyStoriesProject
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3478
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  ## Model description
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@@ -41,19 +42,34 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 256
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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: 1000
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  - num_epochs: 1
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.8516 | 0.63 | 5000 | 1.3478 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.30.2
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.13.1
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- - Tokenizers 0.13.3
 
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  ---
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  license: mit
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+ base_model: gpt2
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # TinyStoriesProject
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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: 1.2720
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  ## Model description
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  - total_train_batch_size: 256
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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: 100
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  - num_epochs: 1
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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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+ | 3.0951 | 0.06 | 500 | 1.9998 |
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+ | 1.8826 | 0.13 | 1000 | 1.7193 |
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+ | 1.7001 | 0.19 | 1500 | 1.6084 |
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+ | 1.6066 | 0.25 | 2000 | 1.5351 |
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+ | 1.5464 | 0.32 | 2500 | 1.4854 |
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+ | 1.5006 | 0.38 | 3000 | 1.4462 |
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+ | 1.4655 | 0.44 | 3500 | 1.4129 |
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+ | 1.4302 | 0.51 | 4000 | 1.3839 |
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+ | 1.4034 | 0.57 | 4500 | 1.3579 |
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+ | 1.3781 | 0.63 | 5000 | 1.3341 |
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+ | 1.3552 | 0.7 | 5500 | 1.3132 |
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+ | 1.3342 | 0.76 | 6000 | 1.2972 |
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+ | 1.3201 | 0.82 | 6500 | 1.2837 |
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+ | 1.3096 | 0.89 | 7000 | 1.2756 |
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+ | 1.3031 | 0.95 | 7500 | 1.2720 |
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  ### Framework versions
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
generation_config.json CHANGED
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  "_from_model_config": true,
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  "bos_token_id": 50256,
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  "eos_token_id": 50256,
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- "transformers_version": "4.30.2"
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  }
 
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  "_from_model_config": true,
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  "bos_token_id": 50256,
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  "eos_token_id": 50256,
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+ "transformers_version": "4.35.2"
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  }
model.safetensors CHANGED
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