metadata

library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: mistral_alpaca_sft_sample
    results: []

mistral_alpaca_sft_sample

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

Loss: 1.7878

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-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0870	2	1.7878

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1