Mixtral_Alpace_v2

This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1218

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.03
• training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
2.0253	0.1389	5	2.0089
1.94	0.2778	10	1.9158
1.8034	0.4167	15	1.7803
1.6579	0.5556	20	1.6171
1.5197	0.6944	25	1.4960
1.4063	0.8333	30	1.3825
1.3019	0.9722	35	1.2824
1.2145	1.1111	40	1.2010
1.1549	1.25	45	1.1446
1.1269	1.3889	50	1.1218

Framework versions

• PEFT 0.11.1
• Transformers 4.41.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1