Minata/512x4x1000_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0

512_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0

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

• Loss: 1.1088

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: 2.5e-05
• 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: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.9983	0.0	100	1.1595
0.9435	0.0	200	1.1294
0.906	0.0	300	1.1200
0.8821	0.0	400	1.1183
0.8983	0.0	500	1.1131
0.8696	0.01	600	1.1222
0.8919	0.01	700	1.1163
0.8876	0.01	800	1.1043
0.8582	0.01	900	1.1071
0.8854	0.01	1000	1.1088

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2