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codeparrot-ds

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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Files changed (8) hide show
  1. README.md +11 -41
  2. config.json +1 -1
  3. generation_config.json +1 -1
  4. model.safetensors +1 -1
  5. runs/Nov21_05-50-36_3734642bcab5/events.out.tfevents.1732168238.3734642bcab5.505.0 +3 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +1 -1
  8. training_args.bin +2 -2
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: 5.0287
 
 
 
 
 
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  ## Model description
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@@ -41,50 +46,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - gradient_accumulation_steps: 8
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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: 10
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  - num_epochs: 5
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  - mixed_precision_training: Native AMP
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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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- | 9.5172 | 0.1699 | 10 | 8.0210 |
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- | 7.1368 | 0.3397 | 20 | 7.3939 |
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- | 6.7858 | 0.5096 | 30 | 6.8556 |
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- | 6.3872 | 0.6794 | 40 | 6.6165 |
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- | 6.0964 | 0.8493 | 50 | 6.3605 |
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- | 5.8534 | 1.0191 | 60 | 6.1202 |
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- | 5.6031 | 1.1890 | 70 | 5.9613 |
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- | 5.4271 | 1.3588 | 80 | 5.8534 |
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- | 5.3319 | 1.5287 | 90 | 5.7526 |
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- | 5.1911 | 1.6985 | 100 | 5.6603 |
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- | 5.1143 | 1.8684 | 110 | 5.5964 |
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- | 5.024 | 2.0382 | 120 | 5.5203 |
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- | 4.8772 | 2.2081 | 130 | 5.4652 |
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- | 4.8455 | 2.3779 | 140 | 5.4071 |
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- | 4.7629 | 2.5478 | 150 | 5.3446 |
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- | 4.6666 | 2.7176 | 160 | 5.2905 |
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- | 4.6672 | 2.8875 | 170 | 5.2415 |
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- | 4.5738 | 3.0573 | 180 | 5.2033 |
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- | 4.4949 | 3.2272 | 190 | 5.1688 |
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- | 4.4406 | 3.3970 | 200 | 5.1329 |
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- | 4.4166 | 3.5669 | 210 | 5.1085 |
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- | 4.3886 | 3.7367 | 220 | 5.0823 |
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- | 4.3302 | 3.9066 | 230 | 5.0652 |
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- | 4.3089 | 4.0764 | 240 | 5.0498 |
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- | 4.2768 | 4.2463 | 250 | 5.0409 |
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- | 4.2667 | 4.4161 | 260 | 5.0344 |
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- | 4.2604 | 4.5860 | 270 | 5.0300 |
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- | 4.2389 | 4.7558 | 280 | 5.0290 |
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- | 4.2726 | 4.9257 | 290 | 5.0287 |
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-
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-
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  ### Framework versions
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- - Transformers 4.44.2
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- - Pytorch 2.4.1+cu121
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- - Datasets 3.0.0
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- - Tokenizers 0.19.1
 
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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: 5.4311
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+ - eval_runtime: 46.6056
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+ - eval_samples_per_second: 326.677
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+ - eval_steps_per_second: 10.213
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+ - epoch: 1.9231
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+ - step: 100
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  ## Model description
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  - seed: 42
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 256
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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: cosine
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  - lr_scheduler_warmup_steps: 10
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  - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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+ - Transformers 4.46.2
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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": "4.44.2",
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  "use_cache": true,
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  "vocab_size": 50000
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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": "4.46.2",
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  "use_cache": true,
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  "vocab_size": 50000
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  }
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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  "bos_token_id": 0,
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  "eos_token_id": 0,
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- "transformers_version": "4.44.2"
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  }
 
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  "eos_token_id": 0,
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+ "transformers_version": "4.46.2"
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tokenizer.json CHANGED
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tokenizer_config.json CHANGED
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