mistral-convsearch-7b

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: 0.6596

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 32
• total_train_batch_size: 512
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.9605	0.62	34	0.9471
0.7935	1.62	68	0.7886
0.7104	2.62	102	0.7083
0.6798	3.62	136	0.6753
0.6571	4.62	170	0.6582

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.1+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1