metadata

license: apache-2.0
base_model: bn22/Mistral-7B-Instruct-v0.1-sharded
tags:
  - generated_from_trainer
model-index:
  - name: results
    results: []

results

This model is a fine-tuned version of bn22/Mistral-7B-Instruct-v0.1-sharded on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5257
eval_runtime: 448.2658
eval_samples_per_second: 2.231
eval_steps_per_second: 0.558
epoch: 2.32
step: 3000

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0

Framework versions

Transformers 4.35.2
Pytorch 2.0.0
Datasets 2.11.0
Tokenizers 0.15.0