Mistral-7B_task-2_120-samples_config-1_full

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-2 and the GaetanMichelet/chat-120_ft_task-2 datasets. It achieves the following results on the evaluation set:

• Loss: 0.7883

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
1.0983	1.0	11	1.0808
0.8983	2.0	22	0.9538
0.8093	3.0	33	0.8324
0.812	4.0	44	0.8045
0.7556	5.0	55	0.7908
0.7048	6.0	66	0.7883
0.6515	7.0	77	0.7959
0.5883	8.0	88	0.8304
0.4745	9.0	99	0.8685
0.3673	10.0	110	0.9279
0.3406	11.0	121	0.9977
0.2499	12.0	132	1.0295
0.2273	13.0	143	1.1281

Framework versions

• PEFT 0.12.0
• Transformers 4.44.0
• Pytorch 2.1.2+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1