hp_ablations_mistral_epoch5_dcftv1.2

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the mlfoundations-dev/oh-dcft-v1.2_no-curation_gpt-4o-mini dataset. It achieves the following results on the evaluation set:

• Loss: 0.4100

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-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 32
• gradient_accumulation_steps: 2
• total_train_batch_size: 512
• total_eval_batch_size: 256
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.1
• lr_scheduler_warmup_steps: 1738
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.5735	1.0	370	0.2857
0.4841	2.0	740	0.2870
0.408	3.0	1110	0.3072
0.3066	4.0	1480	0.3499
0.2144	5.0	1850	0.4100

Framework versions

• Transformers 4.46.1
• Pytorch 2.3.0
• Datasets 3.0.2
• Tokenizers 0.20.3