mistral-journal-finetune
This model is a fine-tuned version of Open-Orca/Mistral-7B-OpenOrca on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.0307
- eval_runtime: 98.0084
- eval_samples_per_second: 0.745
- eval_steps_per_second: 0.102
- epoch: 1.2
- step: 175
Model description
More information needed
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: 2
- 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: 1
- training_steps: 500
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
Inference Providers
NEW
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Model tree for baptistecolle/mistral-journal-finetune
Base model
Open-Orca/Mistral-7B-OpenOrca