training solidity generator11/20/2023, 11:40:49
Browse files- README.md +16 -18
- config.json +1 -1
- pytorch_model.bin +2 -2
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [ckandemir/solidity-generator](https://huggingface.co/ckandemir/solidity-generator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 7e-
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- train_batch_size:
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- eval_batch_size:
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- seed: 100
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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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step
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| No log | 5.0 | 15 | 3.1092 |
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| No log | 6.0 | 18 | 3.0489 |
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| No log | 7.0 | 21 | 3.0032 |
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| No log | 8.0 | 24 | 2.9704 |
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| No log | 9.0 | 27 | 2.9497 |
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| No log | 10.0 | 30 | 2.9415 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [ckandemir/solidity-generator](https://huggingface.co/ckandemir/solidity-generator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2695
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 7e-05
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- train_batch_size: 26
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- eval_batch_size: 26
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- seed: 100
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 104
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- total_eval_batch_size: 104
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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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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.3698 | 1.0 | 33010 | 0.3371 |
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| 0.3292 | 2.0 | 66020 | 0.2977 |
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| 0.3067 | 3.0 | 99030 | 0.2782 |
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| 0.2956 | 4.0 | 132040 | 0.2695 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.7
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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{
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"_name_or_path": "ckandemir/solidity-generator",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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pytorch_model.bin
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training_args.bin
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