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README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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base_model: rishiraj/CatPPT-base
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model-index:
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- name: catppt_2
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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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# catppt_2
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This model is a fine-tuned version of [rishiraj/CatPPT-base](https://huggingface.co/rishiraj/CatPPT-base) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3328
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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: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 32
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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: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps: 130
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.7962 | 0.97 | 10 | 1.1737 |
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| 1.0723 | 1.94 | 20 | 0.9357 |
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| 0.8491 | 2.91 | 30 | 0.7148 |
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| 0.6214 | 3.88 | 40 | 0.5303 |
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| 0.4837 | 4.85 | 50 | 0.4475 |
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| 0.4223 | 5.82 | 60 | 0.4044 |
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| 0.3822 | 6.79 | 70 | 0.3762 |
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| 0.3575 | 7.76 | 80 | 0.3568 |
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| 0.3477 | 8.73 | 90 | 0.3449 |
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| 0.3283 | 9.7 | 100 | 0.3368 |
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| 0.3254 | 10.67 | 110 | 0.3337 |
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| 0.3177 | 11.64 | 120 | 0.3328 |
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| 0.3299 | 12.61 | 130 | 0.3328 |
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### Framework versions
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- PEFT 0.7.2.dev0
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- Transformers 4.38.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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