Model save
Browse files
README.md
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license: apache-2.0
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library_name: peft
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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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base_model: mistralai/Mistral-7B-v0.1
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datasets:
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- HuggingFaceH4/ultrachat_200k
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model-index:
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- name: mistral5p
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results: []
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# mistral5p
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the
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It achieves the following results on the evaluation set:
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- Loss: nan
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps:
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- total_train_batch_size:
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- total_eval_batch_size: 4
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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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### Training results
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| Training Loss | Epoch
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| 0.
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### Framework versions
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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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+
- alignment-handbook
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: mistral5p
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results: []
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# mistral5p
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+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- total_eval_batch_size: 4
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6894 | 1.0 | 406 | nan |
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### Framework versions
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adapter_config.json
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