Model save
Browse files- README.md +8 -9
- all_results.json +5 -10
- train_results.json +5 -5
- trainer_state.json +456 -148
README.md
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---
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base_model: mistralai/Mistral-7B-v0.3
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datasets:
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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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# mistral-7b-0.3-gpt4o_100k_summarize-lora
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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
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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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:
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- eval_batch_size:
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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:
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- total_eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.
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### Framework versions
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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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# mistral-7b-0.3-gpt4o_100k_summarize-lora
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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: 1.8165
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## Model description
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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: 2
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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: 32
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.7129 | 1.0 | 438 | 1.8165 |
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### Framework versions
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all_results.json
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train_results.json
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