UTI2_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: 1.0381

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: 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
2.6274	0.3333	25	2.6112
2.4866	0.6667	50	2.4091
2.1962	1.0	75	1.9992
1.5437	1.3333	100	1.3079
1.0688	1.6667	125	1.0635
0.9875	2.0	150	1.0426
1.0431	2.3333	175	1.0379
1.0727	2.6667	200	1.0381

Framework versions

• Transformers 4.41.2
• Pytorch 2.0.0+cu117
• Datasets 2.19.2
• Tokenizers 0.19.1