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--- |
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base_model: mistralai/Mistral-7B-v0.3 |
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datasets: |
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- llama-duo/synth_summarize_dataset_dedup |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: mistral_7b_0_3-summarize-gpt4o-128k |
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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_7b_0_3-summarize-gpt4o-128k |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the llama-duo/synth_summarize_dataset_dedup dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0012 |
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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: 0.0002 |
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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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_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_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.6982 | 0.9980 | 245 | 1.8248 | |
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| 0.6596 | 2.0 | 491 | 1.8338 | |
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| 0.6197 | 2.9980 | 736 | 1.8432 | |
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| 0.6011 | 4.0 | 982 | 1.8707 | |
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| 0.5805 | 4.9980 | 1227 | 1.9009 | |
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| 0.5585 | 6.0 | 1473 | 1.9298 | |
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| 0.5413 | 6.9980 | 1718 | 1.9540 | |
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| 0.5295 | 8.0 | 1964 | 1.9814 | |
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| 0.5154 | 8.9980 | 2209 | 1.9979 | |
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| 0.508 | 9.9796 | 2450 | 2.0012 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
