v1_200_STEPS_1e6_SFT_SFT

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

• Loss: 0.3216

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: 1e-06
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.3991	0.05	50	0.3739
0.3268	0.1	100	0.3451
0.3428	0.15	150	0.3252
0.3503	0.2	200	0.3216

Framework versions

• Transformers 4.39.3
• Pytorch 2.0.0+cu117
• Datasets 2.18.0
• Tokenizers 0.15.2