Model save
Browse files- README.md +67 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
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: gpt2-XYZCompany-500-steps
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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-XYZCompany-500-steps
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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: 0.3300
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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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: 1
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- training_steps: 500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.471 | 0.32 | 50 | 0.4135 |
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| 0.4572 | 0.63 | 100 | 0.3736 |
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| 0.3903 | 0.95 | 150 | 0.3574 |
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| 0.3748 | 1.27 | 200 | 0.3474 |
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| 0.3639 | 1.58 | 250 | 0.3413 |
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| 0.3515 | 1.9 | 300 | 0.3366 |
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| 0.3539 | 2.22 | 350 | 0.3337 |
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| 0.3604 | 2.53 | 400 | 0.3319 |
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| 0.3579 | 2.85 | 450 | 0.3305 |
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| 0.3176 | 3.16 | 500 | 0.3300 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.2
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- Datasets 2.17.1
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- Tokenizers 0.13.2
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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": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.32.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 497807706
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version https://git-lfs.github.com/spec/v1
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oid sha256:24fd3d60e3762d10dc129237f9ea7a93828e0c8619fc10700ca77f025bb5ddb2
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size 497807706
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