Aravindan commited on
Commit
720ee67
1 Parent(s): e5153e8

End of training

Browse files
README.md CHANGED
@@ -1,22 +1,21 @@
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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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- base_model: gpt2
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  model-index:
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- - name: gpt2out
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/super-duper/huggingface/runs/d28072v4)
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- # gpt2out
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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: 3.6611
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  ## Model description
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@@ -44,20 +43,25 @@ 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: linear
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  - lr_scheduler_warmup_ratio: 0.1
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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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- | No log | 1.0 | 125 | 4.5357 |
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- | No log | 2.0 | 250 | 3.8487 |
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- | No log | 3.0 | 375 | 3.6611 |
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.42.0.dev0
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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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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+ - name: gpt2coder-8epochs
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # gpt2coder-8epochs
 
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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: 2.6054
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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: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 8
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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 | 1.0 | 125 | 4.7927 |
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+ | No log | 2.0 | 250 | 3.7089 |
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+ | No log | 3.0 | 375 | 3.2773 |
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+ | 4.5477 | 4.0 | 500 | 3.0126 |
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+ | 4.5477 | 5.0 | 625 | 2.8363 |
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+ | 4.5477 | 6.0 | 750 | 2.7137 |
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+ | 4.5477 | 7.0 | 875 | 2.6372 |
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+ | 2.8689 | 8.0 | 1000 | 2.6054 |
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  ### Framework versions
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+ - Transformers 4.41.1
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+ - Pytorch 2.1.2
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -33,7 +33,7 @@
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  }
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  },
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  "torch_dtype": "float32",
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- "transformers_version": "4.42.0.dev0",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
 
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.1",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
generation_config.json CHANGED
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