metadata

library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
  - llama-factory
  - generated_from_trainer
model-index:
  - name: >-
      hp_ablations_grid_mistral_bsz4096_lr2e-6_scheduler-cosine-warmup0.15-minlr5e-7
    results: []

hp_ablations_grid_mistral_bsz4096_lr2e-6_scheduler-cosine-warmup0.15-minlr5e-7

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0628

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: 2e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 64
gradient_accumulation_steps: 8
total_train_batch_size: 4096
total_eval_batch_size: 512
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_min_lr
lr_scheduler_warmup_ratio: 0.15
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.5579	1.0	84	0.0691
0.508	2.0	168	0.0645
0.48	3.0	252	0.0628

Framework versions

Transformers 4.46.1
Pytorch 2.3.0
Datasets 3.1.0
Tokenizers 0.20.3