End of training
Browse files- README.md +58 -0
- config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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base_model: Karzan/gpt2-walamakan
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt2-walamakan
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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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# gpt2-walamakan
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This model is a fine-tuned version of [Karzan/gpt2-walamakan](https://huggingface.co/Karzan/gpt2-walamakan) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.1414
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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: 3e-05
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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: 4
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- total_train_batch_size: 128
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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: 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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| 0.3787 | 0.98 | 23 | 7.1415 |
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| 0.3827 | 2.0 | 47 | 7.1610 |
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| 0.3831 | 2.94 | 69 | 7.1414 |
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### Framework versions
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- Transformers 4.32.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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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": "Karzan/gpt2-walamakan",
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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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version https://git-lfs.github.com/spec/v1
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size 854378685
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4027
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