Hugging Face's logo

llama-duo
/
mistral_7b_0_3-summarize-gpt4o-128k

PEFT
TensorBoard
Safetensors
mistral
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Metrics Community
chansung commited on
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+ ---
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+ base_model: mistralai/Mistral-7B-v0.3
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+ datasets:
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+ - generator
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+ library_name: peft
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+ license: apache-2.0
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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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+ 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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+
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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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+
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+ # mistral_7b_0_3-summarize-gpt4o-128k
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+
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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 generator 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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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
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