Mixtral_Rio_oasst2_v1
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the dataset oasst2 (OpenAssistant). It achieves the following results on the evaluation set:
- eval_loss: 1.0570
- eval_runtime: 2.8042
- eval_samples_per_second: 3.566
- eval_steps_per_second: 0.713
- epoch: 30.0
- step: 150
Model description
This is a LoRA trained on OpenAssistant data. The settings for the base model should be: Model loader: Transformers Compute_dtype: bfloat16 quant_type: nf4 cpu: enabled load-in-4bit: enabled use_double_quant: enabled set GPU memory as high as possible unless running locally to give some space for your desktop environment tweak CPU usage until it loads successfully
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2.5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 175
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for rio-codes/Mixtral_Rio_oasst2_v1
Base model
mistralai/Mixtral-8x7B-v0.1