gavinqiangli
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End of training
Browse files
README.md
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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: codeparrot-ds-v2
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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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# codeparrot-ds-v2
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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: 1.0617
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 1000
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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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| 2.5649 | 0.0766 | 5000 | 1.7424 |
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| 1.6811 | 0.1533 | 10000 | 1.5239 |
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| 1.5331 | 0.2299 | 15000 | 1.4213 |
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| 1.4544 | 0.3065 | 20000 | 1.3544 |
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| 1.3946 | 0.3832 | 25000 | 1.3049 |
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| 1.3434 | 0.4598 | 30000 | 1.2571 |
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| 1.2978 | 0.5365 | 35000 | 1.2146 |
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| 1.2515 | 0.6131 | 40000 | 1.1707 |
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| 1.2106 | 0.6897 | 45000 | 1.1335 |
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| 1.1728 | 0.7664 | 50000 | 1.1002 |
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| 1.1457 | 0.8430 | 55000 | 1.0769 |
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| 1.1243 | 0.9196 | 60000 | 1.0646 |
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| 1.1169 | 0.9963 | 65000 | 1.0617 |
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### Framework versions
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- Transformers 4.40.2
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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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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.40.2"
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}
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model.safetensors
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runs/May21_08-03-11_35b96c5f4340/events.out.tfevents.1716278592.35b96c5f4340.646.0
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