Summary4500_M2_200steps_1e7rate_SFT

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3293

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-07
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• 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
2.0168	0.0112	50	1.9854
1.3848	0.0224	100	1.3059
0.4065	0.0336	150	0.4082
0.2756	0.0448	200	0.3293

Framework versions

• Transformers 4.42.4
• Pytorch 2.0.0+cu117
• Datasets 2.20.0
• Tokenizers 0.19.1