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vignesh2404/vignesh-gpt

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README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
 
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  library_name: peft
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  license: mit
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- base_model: openai-community/gpt2
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # shawgpt-ft
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  This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
 
 
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  ## Model description
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@@ -39,16 +41,32 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - gradient_accumulation_steps: 4
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  - total_train_batch_size: 16
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- - optimizer: Use paged_adamw_8bit 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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  - lr_scheduler_warmup_steps: 2
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.13.2
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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
 
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  ---
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+ base_model: openai-community/gpt2
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  library_name: peft
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  license: mit
 
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # shawgpt-ft
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  This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.0473
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  ## Model description
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  - seed: 42
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  - gradient_accumulation_steps: 4
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  - total_train_batch_size: 16
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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_steps: 2
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  - num_epochs: 10
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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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+ | 5.1305 | 0.9231 | 3 | 4.3292 |
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+ | 5.0569 | 1.8462 | 6 | 4.2858 |
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+ | 4.9684 | 2.7692 | 9 | 4.2404 |
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+ | 3.7013 | 4.0 | 13 | 4.1879 |
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+ | 4.8439 | 4.9231 | 16 | 4.1508 |
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+ | 4.7853 | 5.8462 | 19 | 4.1179 |
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+ | 4.7509 | 6.7692 | 22 | 4.0882 |
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+ | 3.5014 | 8.0 | 26 | 4.0591 |
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+ | 4.6408 | 8.9231 | 29 | 4.0487 |
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+ | 3.1714 | 9.2308 | 30 | 4.0473 |
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+
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+
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  ### Framework versions
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  - PEFT 0.13.2
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+ - Transformers 4.44.2
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.0.1
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+ - Tokenizers 0.19.1
adapter_config.json CHANGED
@@ -20,7 +20,7 @@
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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