Model save
Browse files- README.md +61 -0
- all_results.json +8 -0
- train_results.json +8 -0
README.md
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---
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library_name: peft
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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: Se124M_700K_infix_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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# Se124M_700K_infix_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: 0.4988
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch 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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- 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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| 0.5321 | 1.0 | 59092 | 0.5097 |
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| 0.5147 | 2.0 | 118184 | 0.5015 |
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| 0.5065 | 3.0 | 177276 | 0.4988 |
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### Framework versions
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- PEFT 0.15.1
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- Transformers 4.51.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.5.0
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- Tokenizers 0.21.4
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all_results.json
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{
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"epoch": 3.0,
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"total_flos": 9.296262923747328e+16,
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"train_loss": 0.5313433208373908,
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"train_runtime": 11788.2712,
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"train_samples_per_second": 120.306,
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"train_steps_per_second": 15.038
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}
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train_results.json
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{
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"epoch": 3.0,
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"total_flos": 9.296262923747328e+16,
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"train_loss": 0.5313433208373908,
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"train_runtime": 11788.2712,
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"train_samples_per_second": 120.306,
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"train_steps_per_second": 15.038
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}
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