results

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: 0.3201

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: 2
• eval_batch_size: 8
• seed: 18
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.523	0.57	50	0.4759
0.3823	1.14	100	0.3920
0.2682	1.71	150	0.3688
0.2163	2.29	200	0.3362
0.2021	2.86	250	0.3052
0.1349	3.43	300	0.3103
0.1325	4.0	350	0.2974
0.0982	4.57	400	0.3052
0.0859	5.14	450	0.3038
0.0687	5.71	500	0.3213
0.0658	6.29	550	0.3206
0.0597	6.86	600	0.3420
0.0469	7.43	650	0.3252
0.0576	8.0	700	0.3330
0.0435	8.57	750	0.3123
0.044	9.14	800	0.3577
0.0412	9.71	850	0.3274
0.0372	10.29	900	0.3509
0.0369	10.86	950	0.3436
0.0324	11.43	1000	0.3201

Framework versions

• Transformers 4.36.0.dev0
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0