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README.md
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<!-- ---
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base_model: /teamspace/studios/this_studio/output/sft_merge
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library_name: peft
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license: other
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tags:
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- llama-factory
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- lora
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- unsloth
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- generated_from_trainer
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model-index:
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- name: Mistral_End
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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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# Mistral_End
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This model is a fine-tuned version of [/teamspace/studios/this_studio/output/sft_merge](https://huggingface.co//teamspace/studios/this_studio/output/sft_merge) on the WordProblems_SFT_LLama_End dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0767
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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_steps: 500
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- num_epochs: 2.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.0893 | 0.2339 | 500 | 0.0972 |
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| 0.0753 | 0.4679 | 1000 | 0.0879 |
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| 0.071 | 0.7018 | 1500 | 0.0841 |
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| 0.0678 | 0.9358 | 2000 | 0.0813 |
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| 0.0697 | 1.1697 | 2500 | 0.0799 |
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| 0.0553 | 1.4037 | 3000 | 0.0783 |
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| 0.057 | 1.6376 | 3500 | 0.0772 |
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| 0.0599 | 1.8716 | 4000 | 0.0767 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.43.4
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- Pytorch 2.3.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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